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1from transformers import pipeline
2
3classifier = pipeline(
4 "sentiment-analysis",
5 model="wen-666/bert-tiny-chinese-sentiment"
6)
7
8result = classifier("这个产品真的很好用!")
9print(result)
10# 输出: [{'label': 'POSITIVE', 'score': 0.987}]
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20
21
22# Model Card for Model ID
23
24<!-- Provide a quick summary of what the model is/does. -->
25
26
27
28## Model Details
29
30### Model Description
31
32<!-- Provide a longer summary of what this model is. -->
33
34This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
35
36- **Developed by:** [More Information Needed]
37- **Funded by [optional]:** [More Information Needed]
38- **Shared by [optional]:** [More Information Needed]
39- **Model type:** [More Information Needed]
40- **Language(s) (NLP):** [More Information Needed]
41- **License:** [More Information Needed]
42- **Finetuned from model [optional]:** [More Information Needed]
43
44### Model Sources [optional]
45
46<!-- Provide the basic links for the model. -->
47
48- **Repository:** [More Information Needed]
49- **Paper [optional]:** [More Information Needed]
50- **Demo [optional]:** [More Information Needed]
51
52## Uses
53
54<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
55
56### Direct Use
57
58<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
59
60[More Information Needed]
61
62### Downstream Use [optional]
63
64<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
65
66[More Information Needed]
67
68### Out-of-Scope Use
69
70<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
71
72[More Information Needed]
73
74## Bias, Risks, and Limitations
75
76<!-- This section is meant to convey both technical and sociotechnical limitations. -->
77
78[More Information Needed]
79
80### Recommendations
81
82<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
83
84Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
85
86## How to Get Started with the Model
87
88Use the code below to get started with the model.
89
90[More Information Needed]
91
92## Training Details
93
94### Training Data
95
96<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
97
98[More Information Needed]
99
100### Training Procedure
101
102<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
103
104#### Preprocessing [optional]
105
106[More Information Needed]
107
108
109#### Training Hyperparameters
110
111- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
112
113#### Speeds, Sizes, Times [optional]
114
115<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
116
117[More Information Needed]
118
119## Evaluation
120
121<!-- This section describes the evaluation protocols and provides the results. -->
122
123### Testing Data, Factors & Metrics
124
125#### Testing Data
126
127<!-- This should link to a Dataset Card if possible. -->
128
129[More Information Needed]
130
131#### Factors
132
133<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
134
135[More Information Needed]
136
137#### Metrics
138
139<!-- These are the evaluation metrics being used, ideally with a description of why. -->
140
141[More Information Needed]
142
143### Results
144
145[More Information Needed]
146
147#### Summary
148
149
150
151## Model Examination [optional]
152
153<!-- Relevant interpretability work for the model goes here -->
154
155[More Information Needed]
156
157## Environmental Impact
158
159<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
160
161Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
162
163- **Hardware Type:** [More Information Needed]
164- **Hours used:** [More Information Needed]
165- **Cloud Provider:** [More Information Needed]
166- **Compute Region:** [More Information Needed]
167- **Carbon Emitted:** [More Information Needed]
168
169## Technical Specifications [optional]
170
171### Model Architecture and Objective
172
173[More Information Needed]
174
175### Compute Infrastructure
176
177[More Information Needed]
178
179#### Hardware
180
181[More Information Needed]
182
183#### Software
184
185[More Information Needed]
186
187## Citation [optional]
188
189<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
190
191**BibTeX:**
192
193[More Information Needed]
194
195**APA:**
196
197[More Information Needed]
198
199## Glossary [optional]
200
201<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
202
203[More Information Needed]
204
205## More Information [optional]
206
207[More Information Needed]
208
209## Model Card Authors [optional]
210
211[More Information Needed]
212
213## Model Card Contact
214
215[More Information Needed]