Instructions to use hellojimson/roberta-tagalog-base-ft-udpos213-ro with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hellojimson/roberta-tagalog-base-ft-udpos213-ro with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="hellojimson/roberta-tagalog-base-ft-udpos213-ro")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("hellojimson/roberta-tagalog-base-ft-udpos213-ro") model = AutoModelForTokenClassification.from_pretrained("hellojimson/roberta-tagalog-base-ft-udpos213-ro", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from hellojimson/roberta-tagalog-base-ft-udpos213-ro: direct link, hf CLI and curl.
- Browser
- Download file 434 MB
-
https://huggingface.co/hellojimson/roberta-tagalog-base-ft-udpos213-ro/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://hellojimson/roberta-tagalog-base-ft-udpos213-ro/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/hellojimson/roberta-tagalog-base-ft-udpos213-ro/resolve/main/pytorch_model.bin
434 MB
- Xet hash:
- 224bb7fd9951950c0ab2fa1e59e4d67baa380d76f1af8e963b73d4f88e06c23a
- Size of remote file:
- 434 MB
- SHA256:
- e58ee54f0eaeb0b6f22bb4d0ac58c8666d0aa96fdf92b85c82fc32e1f8fa89c7
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