Text Classification
setfit
Safetensors
sentence-transformers
bert
generated_from_setfit_trainer
text-embeddings-inference
Instructions to use cbpuschmann/klimacoder2_v0.9 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- setfit
How to use cbpuschmann/klimacoder2_v0.9 with setfit:
from setfit import SetFitModel model = SetFitModel.from_pretrained("cbpuschmann/klimacoder2_v0.9") preds = model.predict(["i loved the spiderman movie!", "pineapple on pizza is the worst"]) print(preds) - sentence-transformers
How to use cbpuschmann/klimacoder2_v0.9 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("cbpuschmann/klimacoder2_v0.9") sentences = [ "The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3] - Notebooks
- Google Colab
- Kaggle
Download model_head.pkl from cbpuschmann/klimacoder2_v0.9: direct link, hf CLI and curl.
- Browser
- Download file 25.6 kB
-
https://huggingface.co/cbpuschmann/klimacoder2_v0.9/resolve/main/model_head.pkl
- Command line
-
hf download hf://cbpuschmann/klimacoder2_v0.9/model_head.pkl
-
curl -L -o model_head.pkl https://huggingface.co/cbpuschmann/klimacoder2_v0.9/resolve/main/model_head.pkl
25.6 kB
- Xet hash:
- 6f43f84a1207765a63b5a15b7d55c2d58ac28efd71ba8b793183b866bc25bc3e
- Size of remote file:
- 25.6 kB
- SHA256:
- e83c8e63eeb1f8a75ddbf74feffc0565eb485203c94c699ff87930c949633699
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