Instructions to use merve/multilabel-v1-replica with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use merve/multilabel-v1-replica with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="merve/multilabel-v1-replica")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("merve/multilabel-v1-replica") model = AutoModelForSequenceClassification.from_pretrained("merve/multilabel-v1-replica", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3c94d1704c65dd2412378f45bf04c1ada5bb5cd6906b9160cbb2fee5dd83350d
- Size of remote file:
- 443 MB
- SHA256:
- ac401c37b92e4a898d30e588532ecd94dfc675813affd3d009528c029b749b9e
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