Text Classification
setfit
TensorBoard
Safetensors
sentence-transformers
bert
generated_from_setfit_trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use cbpuschmann/MiniLM-klimacoder_v0.4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- setfit
How to use cbpuschmann/MiniLM-klimacoder_v0.4 with setfit:
from setfit import SetFitModel model = SetFitModel.from_pretrained("cbpuschmann/MiniLM-klimacoder_v0.4") preds = model.predict(["i loved the spiderman movie!", "pineapple on pizza is the worst"]) print(preds) - sentence-transformers
How to use cbpuschmann/MiniLM-klimacoder_v0.4 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("cbpuschmann/MiniLM-klimacoder_v0.4") 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 checkpoint-900/optimizer.pt from cbpuschmann/MiniLM-klimacoder_v0.4: direct link, hf CLI and curl.
- Browser
- Download file 941 MB
-
https://huggingface.co/cbpuschmann/MiniLM-klimacoder_v0.4/resolve/main/checkpoint-900/optimizer.pt
- Command line
-
hf download hf://cbpuschmann/MiniLM-klimacoder_v0.4/checkpoint-900/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/cbpuschmann/MiniLM-klimacoder_v0.4/resolve/main/checkpoint-900/optimizer.pt
941 MB
- Xet hash:
- 6b2b87c13664562bc0e5b4dddddfa9ef2dca0102ca8bca430b034e0bfb37c5c5
- Size of remote file:
- 941 MB
- SHA256:
- d8a1a8ac5b9ea3e9cdcbc5a13bccbc9fb4f6b1f745eb0e19ce2a70d493de335f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.