Token Classification
Transformers
PyTorch
TensorBoard
xlm-roberta
Generated from Trainer
Eval Results (legacy)
Instructions to use cfilt/HiNER-original-xlm-roberta-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cfilt/HiNER-original-xlm-roberta-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="cfilt/HiNER-original-xlm-roberta-large")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("cfilt/HiNER-original-xlm-roberta-large") model = AutoModelForTokenClassification.from_pretrained("cfilt/HiNER-original-xlm-roberta-large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f9d5f15398475b2437469152b919eec0e45360212fc29e8cf540ab6cb509be68
- Size of remote file:
- 3.06 kB
- SHA256:
- 6e45fe6d9e9dfd02e8d2b0808300fe72e0ec2ba85806570d64852b665447c00d
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