Sentence Similarity
Transformers
Safetensors
Hindi
hindi
embeddings
sentence-embeddings
semantic-search
text-similarity
Instructions to use convaiinnovations/hindi-embedding-model-final with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use convaiinnovations/hindi-embedding-model-final with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("convaiinnovations/hindi-embedding-model-final", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.model from convaiinnovations/hindi-embedding-model-final: direct link, hf CLI and curl.
- Browser
- Download file 642 kB
-
https://huggingface.co/convaiinnovations/hindi-embedding-model-final/resolve/main/tokenizer.model
- Command line
-
hf download hf://convaiinnovations/hindi-embedding-model-final/tokenizer.model
-
curl -L -o tokenizer.model https://huggingface.co/convaiinnovations/hindi-embedding-model-final/resolve/main/tokenizer.model
642 kB
- Xet hash:
- 4dffa7a50c2cf06327f332e4fb8fd9e4253c67866a609ab571e8e1bf5607d5c5
- Size of remote file:
- 642 kB
- SHA256:
- f1658727f4ea5c571f69a60f6defcd180014a1d69be6e9c1ec360d9510aa6b5e
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