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:
- 06895c24499a5051072698602f39f34986834c8e1cd8e9575d31f9883c7c4951
- Size of remote file:
- 3.52 kB
- SHA256:
- dcb14a65982643bd4223a5be1bd3c0b1268ede3f0b43504790b6cf584f25ff84
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