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RavindraSingh22/
cricguru

Name: cricguru
Availability: InStock

bert

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My Local LLM

Model Details

Architecture: BERT / GPT / Custom
Hidden Size: 256
Layers: 6
Heads: 4
Vocabulary Size: 30,522
Tokenizer: Word-level / BPE

Training Data

Description of dataset (e.g., cricket commentary, Wikipedia subset)
Preprocessing steps

Intended Use

Text generation
Question answering
Classification

Limitations

May hallucinate
Biases present in training data

How to use

python

from transformers import AutoModel, AutoTokenizer

tok = AutoTokenizer.from_pretrained("username/my-llm")
model = AutoModel.from_pretrained("username/my-llm")

inputs = tok("Hello world!", return_tensors="pt")
outputs = model(**inputs)

RavindraSingh22/cricguru

My Local LLM

Model Details

Training Data

Intended Use

Limitations

How to use

RavindraSingh22/
cricguru