Instructions to use tner/twitter-roberta-base-dec2021-tweetner7-continuous with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tner/twitter-roberta-base-dec2021-tweetner7-continuous with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="tner/twitter-roberta-base-dec2021-tweetner7-continuous")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("tner/twitter-roberta-base-dec2021-tweetner7-continuous") model = AutoModelForTokenClassification.from_pretrained("tner/twitter-roberta-base-dec2021-tweetner7-continuous", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 66f5c887f07d9c10f7aa2432096f8617e0ccbd7d8845786aa096a5a5bcb1f3e3
- Size of remote file:
- 496 MB
- SHA256:
- c7b880cb20476c861050ef8e7338863bdb492c749fee26f5408278c9b01672f3
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