Instructions to use inesani/ner-test3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use inesani/ner-test3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="inesani/ner-test3")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("inesani/ner-test3") model = AutoModelForTokenClassification.from_pretrained("inesani/ner-test3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from inesani/ner-test3: direct link, hf CLI and curl.
- Browser
- Download file 3.9 kB
-
https://huggingface.co/inesani/ner-test3/resolve/main/training_args.bin
- Command line
-
hf download hf://inesani/ner-test3/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/inesani/ner-test3/resolve/main/training_args.bin
3.9 kB
- Xet hash:
- 48098266e44607d4fc51adea75c158412b3e0a669fca46addf1c781bace78388
- Size of remote file:
- 3.9 kB
- SHA256:
- a76c0ce6d41c712a7c6e1e2a90f96e430a62489f7211b47e7ef81a0c4f5c4d13
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