Token Classification
Transformers
PyTorch
TensorBoard
xlm-roberta
Generated from Trainer
Eval Results (legacy)
Instructions to use cfilt/HiNER-collapsed-xlm-roberta-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cfilt/HiNER-collapsed-xlm-roberta-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="cfilt/HiNER-collapsed-xlm-roberta-large")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("cfilt/HiNER-collapsed-xlm-roberta-large") model = AutoModelForTokenClassification.from_pretrained("cfilt/HiNER-collapsed-xlm-roberta-large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
HiNER-collapsed-xlm-roberta-large / runs /May01_02-46-14_cccxc523 /events.out.tfevents.1651388621.cccxc523.1363939.0
- Xet hash:
- bde92a0ce87f0d6283d090811c1d81e7102e1a55b1d0ec92b3fa5c5537cd744f
- Size of remote file:
- 389 Bytes
- SHA256:
- b890683480255bfcb98cb39801b6fa3a2d4672f022226503ac1b8a756f77dd90
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