Instructions to use elftsdmr/5000 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use elftsdmr/5000 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="elftsdmr/5000")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("elftsdmr/5000") model = AutoModelForSequenceClassification.from_pretrained("elftsdmr/5000") - 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 sha256:8cf5de65c5d8baa67eca081be5e6b1aafe6af1b08244e5b8d39bfb0fdd3ae8a9
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size 711447648
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