Instructions to use softocean/my_awesome_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use softocean/my_awesome_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="softocean/my_awesome_model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("softocean/my_awesome_model") model = AutoModelForSequenceClassification.from_pretrained("softocean/my_awesome_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- de3e60eda475e824bb1c16181e9293dbae479d20f2d1b41409869c15a100edd6
- Size of remote file:
- 3.44 kB
- SHA256:
- b6005a8dbbeaf7fa1e5d44e146225df46606430ab46bf38394b1e0f0709e011b
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