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
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:d465d0dc4ba6bd32d261a17c9650a69d1e784be0acfbee1f5ca30a7d9d988ce3
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size 442527864
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