Instructions to use tner/bertweet-base-tweetner7-2020 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tner/bertweet-base-tweetner7-2020 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="tner/bertweet-base-tweetner7-2020")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("tner/bertweet-base-tweetner7-2020") model = AutoModelForTokenClassification.from_pretrained("tner/bertweet-base-tweetner7-2020", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 72fa3315e63cd99d5178a9ccd74790ea5b5335359af8cd07cdf7a7a3935d1810
- Size of remote file:
- 537 MB
- SHA256:
- 1219c284236f8f537c519efce736399c159b0a8c811b3efbc62cc61a695cbf1d
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