Instructions to use dani0f/model4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dani0f/model4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="dani0f/model4")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("dani0f/model4") model = AutoModel.from_pretrained("dani0f/model4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8ff57529f1d72037698d813c23b409597cd3f85d945e11fecef8d0bfded6643d
- Size of remote file:
- 253 MB
- SHA256:
- 967b44b22a93efc511f4eecb137cf9213419914d9c6f9975195ea46708ed23d1
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