Instructions to use Americo/emergency-text-classfication2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Americo/emergency-text-classfication2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Americo/emergency-text-classfication2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Americo/emergency-text-classfication2") model = AutoModelForSequenceClassification.from_pretrained("Americo/emergency-text-classfication2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bce3659eec37ff32ebc7e1f5af38be85a0427a2024fb2f6bb1a65a27ffa4e81a
- Size of remote file:
- 504 MB
- SHA256:
- 71360ea4d474befe9a5b8033ff5eb75170ba70b78e9f75c98cfdc5ab6b28abc3
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