Instructions to use asddasdasasdsad/35 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use asddasdasasdsad/35 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="asddasdasasdsad/35")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("asddasdasasdsad/35") model = AutoModel.from_pretrained("asddasdasasdsad/35", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7a3b92a07ff0d247a6ed53787d7a800e5b5faf23ddc97431496bdfadab4b799f
- Size of remote file:
- 492 MB
- SHA256:
- 8b1876fa15ac81f6fa1726728e225b21e951a4d437a1aec5c21040d4f24003cf
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