Instructions to use SergeyTW/action_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SergeyTW/action_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="SergeyTW/action_model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("SergeyTW/action_model") model = AutoModelForSequenceClassification.from_pretrained("SergeyTW/action_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 54b8e15a70a84beef66ceea9fb170c43e5c430e145c711f593938d976f3322db
- Size of remote file:
- 3.58 kB
- SHA256:
- 16715440883b085a12c5e32415447f4715955a4250e4d1ee06cb5e8003fae7e3
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