Instructions to use GautamR/disaster_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GautamR/disaster_classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="GautamR/disaster_classifier")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("GautamR/disaster_classifier") model = AutoModelForSequenceClassification.from_pretrained("GautamR/disaster_classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from GautamR/disaster_classifier: direct link, hf CLI and curl.
- Browser
- Download file 438 MB
-
https://huggingface.co/GautamR/disaster_classifier/resolve/main/model.safetensors
- Command line
-
hf download hf://GautamR/disaster_classifier/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/GautamR/disaster_classifier/resolve/main/model.safetensors
438 MB
- Xet hash:
- c575820f524e964a4b830fcbb3063430957c868f891565a9d9d9232e9d7816e9
- Size of remote file:
- 438 MB
- SHA256:
- 00d334d5ec22c548b893ca85b4975e48c89efd6ec0a86b60a974ca250385d2b4
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