Instructions to use Vikhrmodels/vikhr_encoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Vikhrmodels/vikhr_encoder with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Vikhrmodels/vikhr_encoder")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Vikhrmodels/vikhr_encoder") model = AutoModel.from_pretrained("Vikhrmodels/vikhr_encoder", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Upload photo_2024-05-28_16-03-22.jpg
Verified signaturee107c89 -
Update README.md
Verified signaturef28a026 -
Upload model
Verified signature2efc38d -
Upload tokenizer
Verified signature8bed65b -
initial commit
Verified signaturea73a40f