Instructions to use Ambareeshkumar/BERT-Tamil with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ambareeshkumar/BERT-Tamil with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Ambareeshkumar/BERT-Tamil")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Ambareeshkumar/BERT-Tamil") model = AutoModelForTokenClassification.from_pretrained("Ambareeshkumar/BERT-Tamil", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Ambareeshkumar/BERT-Tamil: direct link, hf CLI and curl.
- Browser
- Download file 3.44 kB
-
https://huggingface.co/Ambareeshkumar/BERT-Tamil/resolve/main/training_args.bin
- Command line
-
hf download hf://Ambareeshkumar/BERT-Tamil/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Ambareeshkumar/BERT-Tamil/resolve/main/training_args.bin
3.44 kB
- Xet hash:
- 2fef43fd00ad8d0152227b6e0c5e2b4edd676db0f444db1dee3f576bd56d5726
- Size of remote file:
- 3.44 kB
- SHA256:
- 9633e4f7fe3aa3c13a8b14e931b689d8cc7c2f7fe0c3bad4c763ac619fce8e5e
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