Instructions to use roivian/manningLp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use roivian/manningLp with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("roivian/manningLp") model = AutoModelForSeq2SeqLM.from_pretrained("roivian/manningLp", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c749bfc6179ca36c6ada142e3a3eea87bf471b30bdc0686f4b49560c72070f2c
- Size of remote file:
- 3.18 kB
- SHA256:
- 202988841b57fd922a1cdd399bebf80886919be6565e56e8a3e0da30c26632e3
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