Instructions to use fernandofernandes/generation-similarity with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fernandofernandes/generation-similarity with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="fernandofernandes/generation-similarity")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("fernandofernandes/generation-similarity") model = AutoModelForSequenceClassification.from_pretrained("fernandofernandes/generation-similarity", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from fernandofernandes/generation-similarity: direct link, hf CLI and curl.
- Browser
- Download file 1.74 GB
-
https://huggingface.co/fernandofernandes/generation-similarity/resolve/main/model.safetensors
- Command line
-
hf download hf://fernandofernandes/generation-similarity/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/fernandofernandes/generation-similarity/resolve/main/model.safetensors
1.74 GB
- Xet hash:
- 81b7c4634a26861f2ba47dfee9804fc41d3d83a1a7f7b50188f67dd19cd19425
- Size of remote file:
- 1.74 GB
- SHA256:
- db7b5f11004905d8701c715b2799b487de44503e11600c55380caaac444fc406
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