Instructions to use hamishivi/fixed-distilroberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hamishivi/fixed-distilroberta-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hamishivi/fixed-distilroberta-base")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("hamishivi/fixed-distilroberta-base") model = AutoModel.from_pretrained("hamishivi/fixed-distilroberta-base") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
0e43635 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:206d967cebfe43a31c268bc2f349cb3206a34939eebabd3c05fb6caf040c8673
size 328538779
|