Instructions to use tner/bertweet-large-tweetner7-2021 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tner/bertweet-large-tweetner7-2021 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="tner/bertweet-large-tweetner7-2021")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("tner/bertweet-large-tweetner7-2021") model = AutoModelForTokenClassification.from_pretrained("tner/bertweet-large-tweetner7-2021", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 096201572a61c886b07fec5911710bae100c8f0e03e36cf7b0176d30529a6647
- Size of remote file:
- 1.42 GB
- SHA256:
- 697a7a2a8ddeef589c00436d8d119b282df5ad2a2c921a1a68d1ab9be77aeba4
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