Instructions to use robvanderg/Sem-RemmmBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use robvanderg/Sem-RemmmBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="robvanderg/Sem-RemmmBERT")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("robvanderg/Sem-RemmmBERT") model = AutoModel.from_pretrained("robvanderg/Sem-RemmmBERT") - Notebooks
- Google Colab
- Kaggle
File size: 135 Bytes
9f71715 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:e0cd4011b2c65f303f937e943315bae387305488b9272056f5499f80ec158871
size 2303882157
|