Instructions to use skillzzzzzy/tamilberto with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use skillzzzzzy/tamilberto with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="skillzzzzzy/tamilberto")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("skillzzzzzy/tamilberto") model = AutoModelForMaskedLM.from_pretrained("skillzzzzzy/tamilberto", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from skillzzzzzy/tamilberto: direct link, hf CLI and curl.
- Browser
- Download file 268 MB
-
https://huggingface.co/skillzzzzzy/tamilberto/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://skillzzzzzy/tamilberto/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/skillzzzzzy/tamilberto/resolve/main/pytorch_model.bin
268 MB
- Xet hash:
- fdab28c0efe1f952431c76bc8bb57d75cb3f304187da406d62fc8f02ce604609
- Size of remote file:
- 268 MB
- SHA256:
- e4301d2d2246df68501c3713c419dd76601fdfed29c0320a81762b2e7128eb18
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