Feature Extraction
Transformers
Safetensors
mistral
mteb
Eval Results (legacy)
text-embeddings-inference
Instructions to use jspringer/echo-mistral-7b-instruct-lasttoken with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jspringer/echo-mistral-7b-instruct-lasttoken with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="jspringer/echo-mistral-7b-instruct-lasttoken")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("jspringer/echo-mistral-7b-instruct-lasttoken") model = AutoModel.from_pretrained("jspringer/echo-mistral-7b-instruct-lasttoken") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1e090c2d2774ea7875da72d682c12600bd69085e9c28674b917a49fe82ccffe2
- Size of remote file:
- 493 kB
- SHA256:
- dadfd56d766715c61d2ef780a525ab43b8e6da4de6865bda3d95fdef5e134055
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