Token Classification
Transformers
PyTorch
TensorBoard
Safetensors
distilbert
Generated from Trainer
Eval Results (legacy)
Instructions to use dmargutierrez/distilbert-base-multilingual-cased-mapa_fine-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dmargutierrez/distilbert-base-multilingual-cased-mapa_fine-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="dmargutierrez/distilbert-base-multilingual-cased-mapa_fine-ner")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("dmargutierrez/distilbert-base-multilingual-cased-mapa_fine-ner") model = AutoModelForTokenClassification.from_pretrained("dmargutierrez/distilbert-base-multilingual-cased-mapa_fine-ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from dmargutierrez/distilbert-base-multilingual-cased-mapa_fine-ner: direct link, hf CLI and curl.
- Browser
- Download file 3.58 kB
-
https://huggingface.co/dmargutierrez/distilbert-base-multilingual-cased-mapa_fine-ner/resolve/main/training_args.bin
- Command line
-
hf download hf://dmargutierrez/distilbert-base-multilingual-cased-mapa_fine-ner/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/dmargutierrez/distilbert-base-multilingual-cased-mapa_fine-ner/resolve/main/training_args.bin
3.58 kB
- Xet hash:
- b6a4192db5711f9cad7aaaa03eb541e8e10b7666328c7e72d229b1b1f9681f7b
- Size of remote file:
- 3.58 kB
- SHA256:
- 7f8d8bd2154bf0ef5d7ba90b90854c09b8b27c76986e47208130be7fb18419ad
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