Instructions to use bertin-project/bertin-base-pos-conll2002-es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bertin-project/bertin-base-pos-conll2002-es with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="bertin-project/bertin-base-pos-conll2002-es")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("bertin-project/bertin-base-pos-conll2002-es") model = AutoModelForTokenClassification.from_pretrained("bertin-project/bertin-base-pos-conll2002-es", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from bertin-project/bertin-base-pos-conll2002-es: direct link, hf CLI and curl.
- Browser
- Download file 2.74 kB
-
https://huggingface.co/bertin-project/bertin-base-pos-conll2002-es/resolve/main/training_args.bin
- Command line
-
hf download hf://bertin-project/bertin-base-pos-conll2002-es/training_args.bin
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curl -L -o training_args.bin https://huggingface.co/bertin-project/bertin-base-pos-conll2002-es/resolve/main/training_args.bin
2.74 kB
- Xet hash:
- da59234e0d785bd670d45fb500bf5f08412473e120351e196f4395ea8374b98a
- Size of remote file:
- 2.74 kB
- SHA256:
- ed05a0e84a577b641fe3f312077173620696d209dad6ea42d96e8a23de030ce5
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