Instructions to use LexFerrinson/FirstModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LexFerrinson/FirstModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="LexFerrinson/FirstModel")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("LexFerrinson/FirstModel") model = AutoModelForTokenClassification.from_pretrained("LexFerrinson/FirstModel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from LexFerrinson/FirstModel: direct link, hf CLI and curl.
- Browser
- Download file 711 kB
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https://huggingface.co/LexFerrinson/FirstModel/resolve/84cd86a3b99adca3cf2ea9ecd8110cd167491843/tokenizer.json
- Command line
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hf download hf://LexFerrinson/FirstModel@84cd86a3b99adca3cf2ea9ecd8110cd167491843/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/LexFerrinson/FirstModel/resolve/84cd86a3b99adca3cf2ea9ecd8110cd167491843/tokenizer.json
711 kB
File too large to display, you can check the raw version instead.