Instructions to use mustoof/results with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mustoof/results with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mustoof/results")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mustoof/results") model = AutoModelForSequenceClassification.from_pretrained("mustoof/results", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3a4d258ddad77077f128600a00a0b5b62273f4b160de76acf75b8cfef45cce2e
- Size of remote file:
- 5.14 kB
- SHA256:
- 1a6d72966eb89ae3e9ab281e498dfdc7b86dcb73a1167256e5aeee03d213eabf
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