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 training_args.bin from fmnxl/output: direct link, hf CLI and curl.
- Browser
- Download file 5.84 kB
-
https://huggingface.co/fmnxl/output/resolve/main/training_args.bin
- Command line
-
hf download hf://fmnxl/output/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/fmnxl/output/resolve/main/training_args.bin
5.84 kB
- Xet hash:
- 52301235725eab5b2669735ba92d3b12f7a111682067bc5a9996d3b02289604d
- Size of remote file:
- 5.84 kB
- SHA256:
- 8f650239f2551000cb9ec5a2972548857de6afe69a69409b3a36f3893c295b80
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