Instructions to use YuryCHep/lfewfwe with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use YuryCHep/lfewfwe with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="YuryCHep/lfewfwe")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("YuryCHep/lfewfwe") model = AutoModelForSequenceClassification.from_pretrained("YuryCHep/lfewfwe", 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 sha256:301153c498f062139c63f7f33b728d5c39686d2efa9dd03af9b7305f4ecdf57a
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size 116800616
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