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 pytorch_model.bin from Ambareeshkumar/BERT-Tamil: direct link, hf CLI and curl.
- Browser
- Download file 709 MB
-
https://huggingface.co/Ambareeshkumar/BERT-Tamil/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Ambareeshkumar/BERT-Tamil/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Ambareeshkumar/BERT-Tamil/resolve/main/pytorch_model.bin
709 MB
- Xet hash:
- b55162a1cceff40a23280de33f3771747bee9e1b6c21231a69b293edab526f16
- Size of remote file:
- 709 MB
- SHA256:
- 7cfe71f3fec5f875ee9c98517ca0360ac3e4ab506763ba308e9a36be48692107
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