Instructions to use 2hip3ng/intercse-bert-base-uncased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use 2hip3ng/intercse-bert-base-uncased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="2hip3ng/intercse-bert-base-uncased")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("2hip3ng/intercse-bert-base-uncased") model = AutoModel.from_pretrained("2hip3ng/intercse-bert-base-uncased", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:a1950e3f4503c6cb467997556943e55ee965aed2247ed89592558924c47c28ff
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size 437961824
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