Instructions to use dmargutierrez/roberta-large-WNUT-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dmargutierrez/roberta-large-WNUT-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="dmargutierrez/roberta-large-WNUT-ner")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("dmargutierrez/roberta-large-WNUT-ner") model = AutoModelForTokenClassification.from_pretrained("dmargutierrez/roberta-large-WNUT-ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from dmargutierrez/roberta-large-WNUT-ner: direct link, hf CLI and curl.
- Browser
- Download file 2.11 MB
-
https://huggingface.co/dmargutierrez/roberta-large-WNUT-ner/resolve/refs%2Fpr%2F1/tokenizer.json
- Command line
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hf download hf://dmargutierrez/roberta-large-WNUT-ner@refs/pr/1/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/dmargutierrez/roberta-large-WNUT-ner/resolve/refs%2Fpr%2F1/tokenizer.json
2.11 MB
File too large to display, you can check the raw version instead.