Instructions to use vnsrz/twt_disaster with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vnsrz/twt_disaster with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="vnsrz/twt_disaster")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("vnsrz/twt_disaster") model = AutoModelForSequenceClassification.from_pretrained("vnsrz/twt_disaster", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cbcac12022255e9e3ebe66b9551692e2aa8cb02482f7bbf808b120ffa66e910c
- Size of remote file:
- 568 MB
- SHA256:
- c976cf5c698b99489110290f36eb41a4273ded549af5c095495fca6d14769d7d
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