Instructions to use taskload/bart-cause-effect with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use taskload/bart-cause-effect with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("taskload/bart-cause-effect") model = AutoModelForSeq2SeqLM.from_pretrained("taskload/bart-cause-effect", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from taskload/bart-cause-effect: direct link, hf CLI and curl.
- Browser
- Download file 1.63 GB
-
https://huggingface.co/taskload/bart-cause-effect/resolve/refs%2Fpr%2F1/model.safetensors
- Command line
-
hf download hf://taskload/bart-cause-effect@refs/pr/1/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/taskload/bart-cause-effect/resolve/refs%2Fpr%2F1/model.safetensors
1.63 GB
- Xet hash:
- 2842e8a3bf6134b2c996f3de56e5452486a611a65499d0388a6dcef90a076488
- Size of remote file:
- 1.63 GB
- SHA256:
- 32151bc31279f38a0da2779af410a3ada90cc22c8c8913b7be1c808253854d64
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