Instructions to use muhtasham/web-scale-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use muhtasham/web-scale-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="muhtasham/web-scale-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("muhtasham/web-scale-ner") model = AutoModelForTokenClassification.from_pretrained("muhtasham/web-scale-ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c02ceb33147cafeb3048a116081c80e1edbe76073febfc3e3cf389d6448955aa
- Size of remote file:
- 5.18 kB
- SHA256:
- 08a138a1f5c19160a46a402be982634c6f92097fd12793760ed394ef44715678
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