Text Classification
setfit
Safetensors
sentence-transformers
mpnet
generated_from_setfit_trainer
text-embeddings-inference
Instructions to use PulseWave/REMITTANCE-ADVICE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- setfit
How to use PulseWave/REMITTANCE-ADVICE with setfit:
from setfit import SetFitModel model = SetFitModel.from_pretrained("PulseWave/REMITTANCE-ADVICE") preds = model.predict(["i loved the spiderman movie!", "pineapple on pizza is the worst"]) print(preds) - sentence-transformers
How to use PulseWave/REMITTANCE-ADVICE with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("PulseWave/REMITTANCE-ADVICE") 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 PulseWave/REMITTANCE-ADVICE: direct link, hf CLI and curl.
- Browser
- Download file 7.01 kB
-
https://huggingface.co/PulseWave/REMITTANCE-ADVICE/resolve/main/model_head.pkl
- Command line
-
hf download hf://PulseWave/REMITTANCE-ADVICE/model_head.pkl
-
curl -L -o model_head.pkl https://huggingface.co/PulseWave/REMITTANCE-ADVICE/resolve/main/model_head.pkl
7.01 kB
- Xet hash:
- 1db4fd2dbdf46faf7e35e93455a5c45749d3ed99fdb91017b18c4881eb604004
- Size of remote file:
- 7.01 kB
- SHA256:
- 39db77a388798a131a547e74db9d98be327fb3821254f938a7819efbd299f3bb
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