Token Classification
Transformers
PyTorch
TensorBoard
Safetensors
roberta
Generated from Trainer
Eval Results (legacy)
Instructions to use dmargutierrez/distilroberta-base-mapa_coarse-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dmargutierrez/distilroberta-base-mapa_coarse-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="dmargutierrez/distilroberta-base-mapa_coarse-ner")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("dmargutierrez/distilroberta-base-mapa_coarse-ner") model = AutoModelForTokenClassification.from_pretrained("dmargutierrez/distilroberta-base-mapa_coarse-ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Adding `safetensors` variant of this model (#1)
- Adding `safetensors` variant of this model (7e71f3aefa337c90943e08cc5a8e82b435b92dce) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>27d983d
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update model card README.md
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