Instructions to use HelloImSteven/AppleScript-Summarizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HelloImSteven/AppleScript-Summarizer with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "summarization" 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("summarization", model="HelloImSteven/AppleScript-Summarizer")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("HelloImSteven/AppleScript-Summarizer") model = AutoModelForSeq2SeqLM.from_pretrained("HelloImSteven/AppleScript-Summarizer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from HelloImSteven/AppleScript-Summarizer: direct link, hf CLI and curl.
- Browser
- Download file 1.63 GB
-
https://huggingface.co/HelloImSteven/AppleScript-Summarizer/resolve/main/model.safetensors
- Command line
-
hf download hf://HelloImSteven/AppleScript-Summarizer/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/HelloImSteven/AppleScript-Summarizer/resolve/main/model.safetensors
1.63 GB
- Xet hash:
- d1d617637faddf498de50d7d308b0cc9a9c585462097e07dda86e786f2018324
- Size of remote file:
- 1.63 GB
- SHA256:
- e0b3d68ff1a66f341ff7995ddad59daef2203f2c00bea6aa98709046853b4319
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