Instructions to use tner/twitter-roberta-base-dec2020-tweetner7-random with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tner/twitter-roberta-base-dec2020-tweetner7-random with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="tner/twitter-roberta-base-dec2020-tweetner7-random")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("tner/twitter-roberta-base-dec2020-tweetner7-random") model = AutoModelForTokenClassification.from_pretrained("tner/twitter-roberta-base-dec2020-tweetner7-random", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4fb825659b148be7e09bf4f984d55698c14b6c0449d03fc90446d89edf360d08
- Size of remote file:
- 496 MB
- SHA256:
- bf591c074d33be03aec4c93da70b2a4b7f20dd8b58a6b2acde68c5d839402158
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