Instructions to use SamuelYang/SentMAE_BEIR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SamuelYang/SentMAE_BEIR with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="SamuelYang/SentMAE_BEIR")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("SamuelYang/SentMAE_BEIR") model = AutoModelForMaskedLM.from_pretrained("SamuelYang/SentMAE_BEIR") - Notebooks
- Google Colab
- Kaggle
Commit ·
b5d1cb9
1
Parent(s): 27ed9c8
Upload vocab.txt
Browse files
vocab.txt
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|