Token Classification
Transformers
TensorBoard
Safetensors
gpt2
Generated from Trainer
text-generation-inference
Instructions to use kthammana/MLMA-Lab8-FinetunedBioGPT-Custom with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kthammana/MLMA-Lab8-FinetunedBioGPT-Custom with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="kthammana/MLMA-Lab8-FinetunedBioGPT-Custom")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("kthammana/MLMA-Lab8-FinetunedBioGPT-Custom") model = AutoModelForTokenClassification.from_pretrained("kthammana/MLMA-Lab8-FinetunedBioGPT-Custom") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 908629e90b7206d0b2f661a3d5c76f626e613f199594f1c5b97853c1e1e3cac4
- Size of remote file:
- 4.92 kB
- SHA256:
- d18ef2046917f1194d669af7338ffd692f56e8eab353608aa8ceb556862bb0d5
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