Instructions to use maxpe/twitter-roberta-base-jun2022_sem_eval_2018_task_1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use maxpe/twitter-roberta-base-jun2022_sem_eval_2018_task_1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="maxpe/twitter-roberta-base-jun2022_sem_eval_2018_task_1")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("maxpe/twitter-roberta-base-jun2022_sem_eval_2018_task_1") model = AutoModelForSequenceClassification.from_pretrained("maxpe/twitter-roberta-base-jun2022_sem_eval_2018_task_1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Update README.md
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Merge branch 'main' of https://huggingface.co/maxpe/twitter-roberta-base-jun2022_sem_eval_2018_task_1 into main
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add to config problem_type
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add first model version
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initial commit
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