Instructions to use emaeon/Complete-asc-7-full with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use emaeon/Complete-asc-7-full with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="emaeon/Complete-asc-7-full")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("emaeon/Complete-asc-7-full") model = AutoModelForSequenceClassification.from_pretrained("emaeon/Complete-asc-7-full") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 379645054f59fd4d06be682b119e60ebc2d17cf90e1c7f28eb49316bbad64fe8
- Size of remote file:
- 1.35 GB
- SHA256:
- 703f587114765666a595c5c1b72b50e489abcff9f3852280f5a3f37e0dbbf751
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