Instructions to use leonweber/muppet-large-118 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use leonweber/muppet-large-118 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="leonweber/muppet-large-118")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("leonweber/muppet-large-118") model = AutoModel.from_pretrained("leonweber/muppet-large-118", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 024d5789d901925634fe4a5f337b490ee1508d9630b518b54a31f63e73b01314
- Size of remote file:
- 1.33 GB
- SHA256:
- ed1758dd4c174718b17e20439fca9e586a1ee9f37ea3f1128774ad4c75653a8b
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