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 training_args.bin from mirfan899/uner-muril-ner: direct link, hf CLI and curl.
- Browser
- Download file 4.03 kB
-
https://huggingface.co/mirfan899/uner-muril-ner/resolve/main/training_args.bin
- Command line
-
hf download hf://mirfan899/uner-muril-ner/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/mirfan899/uner-muril-ner/resolve/main/training_args.bin
4.03 kB
- Xet hash:
- 63440b308aca5fe80544cf135fa0c7302dbf02749dfe328d171bc35d065a0079
- Size of remote file:
- 4.03 kB
- SHA256:
- 61e9fd2a061e85f91e78638a0a2296a75d14aafa364d1f4e434b47410ee3ee63
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.