Instructions to use YtBig/href-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use YtBig/href-v2 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="YtBig/href-v2")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("YtBig/href-v2") model = AutoModelForSeq2SeqLM.from_pretrained("YtBig/href-v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from YtBig/href-v2: direct link, hf CLI and curl.
- Browser
- Download file 1.63 GB
-
https://huggingface.co/YtBig/href-v2/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://YtBig/href-v2/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/YtBig/href-v2/resolve/main/pytorch_model.bin
1.63 GB
- Xet hash:
- 5932a8e443508501538434a0f9cbb63b90dc483a4ea0f334d972c33637c9267b
- Size of remote file:
- 1.63 GB
- SHA256:
- 06ece123978a34083890ef7ec2dc68e63e535d1ad952daf3bf0a4ae97d8e965d
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