Instructions to use vinayak361/token_final_tunned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vinayak361/token_final_tunned with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="vinayak361/token_final_tunned")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("vinayak361/token_final_tunned") model = AutoModelForTokenClassification.from_pretrained("vinayak361/token_final_tunned") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9c6cdaf82454306e30f8600c52a140ce70d49e26f0b392c4e48b95407bbb5b92
- Size of remote file:
- 3.18 kB
- SHA256:
- 90476910e9330f4d1ba3df6d298e2c2110c992e26b1bf449486677bd5b120f04
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