Instructions to use garNER/albert-tiny-spanish-es-LM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use garNER/albert-tiny-spanish-es-LM with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="garNER/albert-tiny-spanish-es-LM")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("garNER/albert-tiny-spanish-es-LM") model = AutoModelForTokenClassification.from_pretrained("garNER/albert-tiny-spanish-es-LM", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from garNER/albert-tiny-spanish-es-LM: direct link, hf CLI and curl.
- Browser
- Download file 2.45 MB
-
https://huggingface.co/garNER/albert-tiny-spanish-es-LM/resolve/main/tokenizer.json
- Command line
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hf download hf://garNER/albert-tiny-spanish-es-LM/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/garNER/albert-tiny-spanish-es-LM/resolve/main/tokenizer.json
2.45 MB
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