You can deploy this model and start earning money today!

lkonle/
EMO_Love_gbert

Name: EMO_Love_gbert
Availability: InStock

Views

No views yet

Model Card for Model ID

Model Details

Model Description

How to use the model

python

import pandas as pd
import numpy as np
from transformers import AutoModelForSequenceClassification, AutoTokenizer

# Load model
model = AutoModelForSequenceClassification.from_pretrained("lkonle/EMO_Love_gbert")

# Load tokenizer
tokenizer = AutoTokenizer.from_pretrained("lkonle/EMO_Love_gbert")
tokenizer.pad_token = "[PAD]"
tokenizer.add_special_tokens({'pad_token': '[PAD]'})

# define input text
myinput = ["Paul war sehr sehr glücklich über seinen Welpen.",
           "Paul war sehr traurig über sein Frühstück.",
           "Paul hatte große Langeweile."]

# tokenize, encode, format as batch and return pytorch tensors
input_ids = tokenizer.batch_encode_plus(myinput, truncation=True, padding="max_length", padding_side="right", return_tensors="pt")

# predict
logits = model(**input_ids)["logits"]

# get the predicted label
result = logits.detach().numpy()
prediction = np.argmax(result, axis=1)

# store result in pandas
output = pd.DataFrame()
output["inputs"] =  myinput
output["prediction"] = prediction
print(output)