Instructions to use GeraniumCat/bash-seq-to-seq with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GeraniumCat/bash-seq-to-seq with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "translation" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("translation", model="GeraniumCat/bash-seq-to-seq")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("GeraniumCat/bash-seq-to-seq") model = AutoModelForSeq2SeqLM.from_pretrained("GeraniumCat/bash-seq-to-seq", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from GeraniumCat/bash-seq-to-seq: direct link, hf CLI and curl.
- Browser
- Download file 242 MB
-
https://huggingface.co/GeraniumCat/bash-seq-to-seq/resolve/main/model.safetensors
- Command line
-
hf download hf://GeraniumCat/bash-seq-to-seq/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/GeraniumCat/bash-seq-to-seq/resolve/main/model.safetensors
242 MB
- Xet hash:
- c97035d5b023d4c2db2c9965e36401363c9e91051bf963657821ba21aec1e3c1
- Size of remote file:
- 242 MB
- SHA256:
- 1411833f2f20fd176bccdb3f6d1c211b6c92afc6637e5ed79ad1b07b6f2c5451
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