Token Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
Eval Results (legacy)
Instructions to use cfilt/HiNER-collapsed-muril-base-cased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cfilt/HiNER-collapsed-muril-base-cased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="cfilt/HiNER-collapsed-muril-base-cased")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("cfilt/HiNER-collapsed-muril-base-cased") model = AutoModelForTokenClassification.from_pretrained("cfilt/HiNER-collapsed-muril-base-cased", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6d49bcfec7b93405ca06d1bb12d655dc7b31c9013265c64e2e64e4582a8c11fb
- Size of remote file:
- 948 MB
- SHA256:
- 7312bc248e787cb1ed478408714b9a5f859effce541d91a91476fd5ef14e5676
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