Instructions to use binqiangliu/EmbeddingModelallMiniLML6v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use binqiangliu/EmbeddingModelallMiniLML6v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="binqiangliu/EmbeddingModelallMiniLML6v2")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("binqiangliu/EmbeddingModelallMiniLML6v2") model = AutoModel.from_pretrained("binqiangliu/EmbeddingModelallMiniLML6v2") - Notebooks
- Google Colab
- Kaggle
Commit ·
ed9108a
1
Parent(s): 39cedf9
Upload tokenizer.json with huggingface_hub
Browse files- tokenizer.json +0 -0
tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|