Instructions to use HasinMDG/distilroberta_SD_country_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use HasinMDG/distilroberta_SD_country_v2 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("HasinMDG/distilroberta_SD_country_v2") 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] - setfit
How to use HasinMDG/distilroberta_SD_country_v2 with setfit:
from setfit import SetFitModel model = SetFitModel.from_pretrained("HasinMDG/distilroberta_SD_country_v2") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from HasinMDG/distilroberta_SD_country_v2: direct link, hf CLI and curl.
- Browser
- Download file 329 MB
-
https://huggingface.co/HasinMDG/distilroberta_SD_country_v2/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://HasinMDG/distilroberta_SD_country_v2/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/HasinMDG/distilroberta_SD_country_v2/resolve/main/pytorch_model.bin
329 MB
- Xet hash:
- 0e2a9f7ecb54794847b9889ace7e0b6f29c8bb904da93e5926fdae6f5902d3b3
- Size of remote file:
- 329 MB
- SHA256:
- c90a02628b83182a2972427bd0d0e1cb5ef21c58152a59012a46501af0fabd5e
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