Instructions to use JulesBelveze/labse-bfloat16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JulesBelveze/labse-bfloat16 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="JulesBelveze/labse-bfloat16")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("JulesBelveze/labse-bfloat16") model = AutoModel.from_pretrained("JulesBelveze/labse-bfloat16", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 133 Bytes
105cf00 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:09216b42d2697b7b4a26ac05ff09ba8bf52dc19b896c5ceee8bbff9f39055322
size 13631919
|