Instructions to use dani0f/model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dani0f/model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="dani0f/model")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("dani0f/model") model = AutoModel.from_pretrained("dani0f/model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 82967c1ce54b79fa276c8e06f99593c7e3abac9f07e912c311a26916fa366daf
- Size of remote file:
- 253 MB
- SHA256:
- 50bc96e8557d9dfda6b3733da9321d72355209e70c83456f8830bc0ede1074f1
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