Instructions to use daiweichen/pal-b-large-opt-350m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use daiweichen/pal-b-large-opt-350m 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="daiweichen/pal-b-large-opt-350m", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("daiweichen/pal-b-large-opt-350m", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 89866f03f7d08cbd6c9813896f79b483eaa2fc660bf5955bade87b1941791356
- Size of remote file:
- 1.33 GB
- SHA256:
- 8c5e8e5083c6c333b9ba3284e989dab95ef00f70e1b97770df255acebada4388
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