Instructions to use apkbala107/tamilroberto with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use apkbala107/tamilroberto with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="apkbala107/tamilroberto")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("apkbala107/tamilroberto") model = AutoModelForMaskedLM.from_pretrained("apkbala107/tamilroberto", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from apkbala107/tamilroberto: direct link, hf CLI and curl.
- Browser
- Download file 336 MB
-
https://huggingface.co/apkbala107/tamilroberto/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://apkbala107/tamilroberto/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/apkbala107/tamilroberto/resolve/main/pytorch_model.bin
336 MB
- Xet hash:
- 8b0028b5cd48af529357b1791abaa83455904ea9fc2bd386eb099d108261db0c
- Size of remote file:
- 336 MB
- SHA256:
- c94537191edb31ac684cb255058e4ecc8a8820e4323c269590c2b7da640d0121
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