Token Classification
Transformers
TensorBoard
Safetensors
gpt2
Generated from Trainer
text-generation-inference
Instructions to use kthammana/MLMA-Lab8-FinetunedBioGPT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kthammana/MLMA-Lab8-FinetunedBioGPT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="kthammana/MLMA-Lab8-FinetunedBioGPT")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("kthammana/MLMA-Lab8-FinetunedBioGPT") model = AutoModelForTokenClassification.from_pretrained("kthammana/MLMA-Lab8-FinetunedBioGPT") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4bcc159afbaee8aa3af7d5c7b12f4b9f57e4b6b008bc7fa575ddbb02fc10b601
- Size of remote file:
- 1.39 GB
- SHA256:
- 5e5e413e59b84b43413b89229c3f76eb5a5600238e92fe43b0f20f41c0cc5e16
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