Instructions to use tweettemposhift/ner-ner_temporal-bertweet-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tweettemposhift/ner-ner_temporal-bertweet-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="tweettemposhift/ner-ner_temporal-bertweet-base")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("tweettemposhift/ner-ner_temporal-bertweet-base") model = AutoModelForTokenClassification.from_pretrained("tweettemposhift/ner-ner_temporal-bertweet-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fbcdd2a3b61f9ea265934ef920bf6d341d9f11fadf9cb0718680df5edd8d826d
- Size of remote file:
- 537 MB
- SHA256:
- 8ff6f636d013989bdcdc26a84ae4c8086f16a72fe7d78efbf252b0d2933381bd
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