Instructions to use halimara/model_sentence_bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use halimara/model_sentence_bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="halimara/model_sentence_bert")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("halimara/model_sentence_bert") model = AutoModel.from_pretrained("halimara/model_sentence_bert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Adding `safetensors` variant of this model
This is an automated PR created with https://huggingface.co/spaces/safetensors/convert This new file is equivalent to `pytorch_model.bin` but safe in the sense that no arbitrary code can be put into it. These files also happen to load much faster than their pytorch counterpart: https://colab.research.google.com/github/huggingface/notebooks/blob/main/safetensors_doc/en/speed.ipynb The widgets on your model page will run using this model even if this is not merged making sure the file actually works. If you find any issues: please report here: https://huggingface.co/spaces/safetensors/convert/discussions Feel free to ignore this PR.2aad07f
-
Upload tokenizer_config.json
724f7b9 -
Upload special_tokens_map.json
ae1c740 -
Upload sentence_bert_config.json
81d6bc3 -
Upload config.json
fb64bc5 -
Upload pytorch_model.bin with git-lfs
29180b4 -
Upload unigram.json with git-lfs
2578f47 -
Upload 0_Transformer/tokenizer_config.json
4c268cb -
Upload 0_Transformer/special_tokens_map.json
6d9f940 -
Upload 0_Transformer/sentence_bert_config.json
6e19eb1 -
Upload 0_Transformer/pytorch_model.bin with git-lfs
a3d7c40 -
Upload 0_Transformer/config.json
5451dee -
hehehe
Ramdani Halimaa58dcbb -
Create README.md
39c1554 -
initial commit
6ee8707