Instructions to use AnonymousSub/AR_specter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousSub/AR_specter with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="AnonymousSub/AR_specter")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("AnonymousSub/AR_specter") model = AutoModel.from_pretrained("AnonymousSub/AR_specter", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
3967d1c | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:f11612fd242093812c1a06a354d42150cde19a625751d0a1e060113b78d96c39
size 438012727
|