Instructions to use DAMO-NLP-SG/roberta-time_identification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DAMO-NLP-SG/roberta-time_identification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="DAMO-NLP-SG/roberta-time_identification")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("DAMO-NLP-SG/roberta-time_identification") model = AutoModelForTokenClassification.from_pretrained("DAMO-NLP-SG/roberta-time_identification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from DAMO-NLP-SG/roberta-time_identification: direct link, hf CLI and curl.
- Browser
- Download file 2.11 MB
-
https://huggingface.co/DAMO-NLP-SG/roberta-time_identification/resolve/main/tokenizer.json
- Command line
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hf download hf://DAMO-NLP-SG/roberta-time_identification/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/DAMO-NLP-SG/roberta-time_identification/resolve/main/tokenizer.json
2.11 MB
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