Instructions to use fmnxl/output with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fmnxl/output with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="fmnxl/output")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("fmnxl/output") model = AutoModelForTokenClassification.from_pretrained("fmnxl/output", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from fmnxl/output: direct link, hf CLI and curl.
- Browser
- Download file 34.4 MB
-
https://huggingface.co/fmnxl/output/resolve/main/tokenizer.json
- Command line
-
hf download hf://fmnxl/output/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/fmnxl/output/resolve/main/tokenizer.json
34.4 MB
- Xet hash:
- d190257ad9e708b6380d3c156211aadc3067a642e133cddeb10406f735092b83
- Size of remote file:
- 34.4 MB
- SHA256:
- 3cdd116e350e9551f912dd7670b55fe726dcd5d6377c7477ef4792885deb9c1a
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