Instructions to use AbidHasan95/movieHunt4-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AbidHasan95/movieHunt4-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="AbidHasan95/movieHunt4-ner")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("AbidHasan95/movieHunt4-ner") model = AutoModelForTokenClassification.from_pretrained("AbidHasan95/movieHunt4-ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from AbidHasan95/movieHunt4-ner: direct link, hf CLI and curl.
- Browser
- Download file 3.31 kB
-
https://huggingface.co/AbidHasan95/movieHunt4-ner/resolve/refs%2Fpr%2F1/training_args.bin
- Command line
-
hf download hf://AbidHasan95/movieHunt4-ner@refs/pr/1/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/AbidHasan95/movieHunt4-ner/resolve/refs%2Fpr%2F1/training_args.bin
3.31 kB
- Xet hash:
- af2547b063313602f5587e9ad0fb8c9e1f9707a4fedd902ca8d2166bd5e34240
- Size of remote file:
- 3.31 kB
- SHA256:
- 46ae71eaa8254434c11ab8dc091b311b48bd2dba284d0c85be8db60e7387cd3a
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