Instructions to use dccuchile/albert-tiny-spanish-finetuned-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dccuchile/albert-tiny-spanish-finetuned-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="dccuchile/albert-tiny-spanish-finetuned-ner")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("dccuchile/albert-tiny-spanish-finetuned-ner") model = AutoModelForTokenClassification.from_pretrained("dccuchile/albert-tiny-spanish-finetuned-ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from dccuchile/albert-tiny-spanish-finetuned-ner: direct link, hf CLI and curl.
- Browser
- Download file 2.86 kB
-
https://huggingface.co/dccuchile/albert-tiny-spanish-finetuned-ner/resolve/refs%2Fpr%2F1/training_args.bin
- Command line
-
hf download hf://dccuchile/albert-tiny-spanish-finetuned-ner@refs/pr/1/training_args.bin
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curl -L -o training_args.bin https://huggingface.co/dccuchile/albert-tiny-spanish-finetuned-ner/resolve/refs%2Fpr%2F1/training_args.bin
2.86 kB
- Xet hash:
- bb292f91ba39368e48f97fb0a145df859daa7ff0c90657f41c038280e5ce1299
- Size of remote file:
- 2.86 kB
- SHA256:
- 415dd26e4c9bb86cdb797bec4f0ea4d492d7142400b45ffc20323abb9907ca27
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