Instructions to use gamino/my_awesome_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gamino/my_awesome_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="gamino/my_awesome_model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("gamino/my_awesome_model") model = AutoModelForSequenceClassification.from_pretrained("gamino/my_awesome_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 53e5cbbfc776d66bf43d3201fab36548e6f441f4e365ea58ca70164813855db2
- Size of remote file:
- 4.54 kB
- SHA256:
- eae81a0d54d79f91b09fb6add7c8e41c2b985178611eb99b6de321cb180ba26f
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