Instructions to use mirfan899/uner-muril-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mirfan899/uner-muril-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="mirfan899/uner-muril-ner")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("mirfan899/uner-muril-ner") model = AutoModelForTokenClassification.from_pretrained("mirfan899/uner-muril-ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from mirfan899/uner-muril-ner: direct link, hf CLI and curl.
- Browser
- Download file 709 MB
-
https://huggingface.co/mirfan899/uner-muril-ner/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://mirfan899/uner-muril-ner/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/mirfan899/uner-muril-ner/resolve/main/pytorch_model.bin
709 MB
- Xet hash:
- 12834fcac372a52d7cbb9ff36eb22603fdf869c936d8f8d9306599b182171c38
- Size of remote file:
- 709 MB
- SHA256:
- b969de7ca84619e4c5e9578fbffb8d627aae68499c0db5ed2a1b9b9794ed8ab4
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