Instructions to use Vydiant/mesh-pipeline with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Vydiant/mesh-pipeline with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Vydiant/mesh-pipeline")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Vydiant/mesh-pipeline") model = AutoModel.from_pretrained("Vydiant/mesh-pipeline", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
Added comments b003998
Update README.md 8526ce1
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fixed AutoModelForSequenceClassification errors 9f701d6
Dennis Minn commited on
removed AutoModelForSequenceClassification and updated underlying model e87dead
Dennis Minn commited on
added mesh_ordered_dictionary to parameters 859160b
Dennis Minn commited on
removed unnecessary dependencies from mesh_embeddings f38952c
Dennis Minn commited on
added pretrained pipeline 67bbd8f
Dennis Minn commited on