Instructions to use cfilt/HiNER-original-muril-base-cased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cfilt/HiNER-original-muril-base-cased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="cfilt/HiNER-original-muril-base-cased")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("cfilt/HiNER-original-muril-base-cased") model = AutoModelForTokenClassification.from_pretrained("cfilt/HiNER-original-muril-base-cased", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7cddf669e7b0666a58a7f6e8270906c0f701097de3622f2753ae3a90001c30e3
- Size of remote file:
- 948 MB
- SHA256:
- 087be24cd1c2da2889b7d185b64351760ecb3a051ee8d2a6537d53548a0bad91
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