Instructions to use alex2awesome/source-affiliation-model__basic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use alex2awesome/source-affiliation-model__basic with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="alex2awesome/source-affiliation-model__basic")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("alex2awesome/source-affiliation-model__basic") model = AutoModelForSequenceClassification.from_pretrained("alex2awesome/source-affiliation-model__basic", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4e00117e7af378d78b09516c66749b9bd0cc136709103be603c521c78d028dd4
- Size of remote file:
- 4.66 kB
- SHA256:
- 458ddb10bc9c9465cbf24aba1fde1b8d9c28107e49a4bc2d47e5cbfe8bad3e7d
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