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")# 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") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:f29eb5529a8527e7ad63e22ffcfdb7c97a64cb2603df54ec036f132d4e5270de
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size 1417305100
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