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:
- a83237d3972e72038709f34b0f3cf0295b669b0baf6f1191c5f982d394f177cf
- Size of remote file:
- 242 MB
- SHA256:
- 67acc26a84c7c4ccf9eaabf51f843aea8f6fa2619432f2d4e18c617f1178a7af
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