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")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("halimara/model_sentence_bert") model = AutoModel.from_pretrained("halimara/model_sentence_bert") - Notebooks
- Google Colab
- Kaggle
Commit History
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
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Ramdani Halima commited on