Instructions to use overfly83/my_awesome_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use overfly83/my_awesome_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="overfly83/my_awesome_model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("overfly83/my_awesome_model") model = AutoModelForSequenceClassification.from_pretrained("overfly83/my_awesome_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2aad986c9a3ca11caf76580b1ac9e96c41b68f29376532a9dcbe8a5e3d0c1eac
- Size of remote file:
- 3.58 kB
- SHA256:
- f7dbbf5194e46ae7f129dd4604e24d4e132393beb368c1ee2241aeed7cb01649
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