Text Classification
setfit
Safetensors
sentence-transformers
xlm-roberta
generated_from_setfit_trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use cbpuschmann/klimacoder_speedlimit_v0.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- setfit
How to use cbpuschmann/klimacoder_speedlimit_v0.1 with setfit:
from setfit import SetFitModel model = SetFitModel.from_pretrained("cbpuschmann/klimacoder_speedlimit_v0.1") preds = model.predict(["i loved the spiderman movie!", "pineapple on pizza is the worst"]) print(preds) - sentence-transformers
How to use cbpuschmann/klimacoder_speedlimit_v0.1 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("cbpuschmann/klimacoder_speedlimit_v0.1") 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/klimacoder_speedlimit_v0.1: direct link, hf CLI and curl.
- Browser
- Download file 19.4 kB
-
https://huggingface.co/cbpuschmann/klimacoder_speedlimit_v0.1/resolve/main/model_head.pkl
- Command line
-
hf download hf://cbpuschmann/klimacoder_speedlimit_v0.1/model_head.pkl
-
curl -L -o model_head.pkl https://huggingface.co/cbpuschmann/klimacoder_speedlimit_v0.1/resolve/main/model_head.pkl
19.4 kB
- Xet hash:
- 603dc344cadae470d0e9e1e2470ccf6a9a848c7dee0d560f347721d5315a6507
- Size of remote file:
- 19.4 kB
- SHA256:
- 9b0bed0160e03a9723be2cd9a56e06d733a3d15bc50badeee4b2845b3ea167ec
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