Instructions to use tner/bertweet-base-tweetner7-random with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tner/bertweet-base-tweetner7-random with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="tner/bertweet-base-tweetner7-random")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("tner/bertweet-base-tweetner7-random") model = AutoModelForTokenClassification.from_pretrained("tner/bertweet-base-tweetner7-random") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bfbdac11600087b74b0a42ce2a8555aee1300abdd530ecb188263f5dd00e6404
- Size of remote file:
- 537 MB
- SHA256:
- 4bda6388581580ceba6c2a48610a0d61da2857ce6bdab994e6b9cfdd593e1be6
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