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
- Xet hash:
- bdc81e771a6652590f880657ec7d65ab334368447cff14b07520338f7fd56f3c
- Size of remote file:
- 438 MB
- SHA256:
- f11612fd242093812c1a06a354d42150cde19a625751d0a1e060113b78d96c39
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