Instructions to use jncraton/e5-small-v2-ct2-int8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jncraton/e5-small-v2-ct2-int8 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("jncraton/e5-small-v2-ct2-int8", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d8733cf8abf07102d33d6795adbb480b7ffddfa98c99dd2e38bc7f2c89a3e82b
- Size of remote file:
- 34.4 MB
- SHA256:
- 5e879493b1a8969c853c56602b6f4233207663263a83b1a881cc0b35646df17a
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