Instructions to use soilSpoon/my_awesome_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use soilSpoon/my_awesome_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="soilSpoon/my_awesome_model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("soilSpoon/my_awesome_model") model = AutoModelForSequenceClassification.from_pretrained("soilSpoon/my_awesome_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2390b5955a1c4b74a9c1593ef086c92fd846fdf706d104a1f8a319037fbf08ea
- Size of remote file:
- 4.73 kB
- SHA256:
- 40e98350d915f238673ead13c262109f640ada0a9ed31b068cc0284306b964c6
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