Instructions to use Youssef320/KD_Roberta_1LBERT_lambda50 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Youssef320/KD_Roberta_1LBERT_lambda50 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Youssef320/KD_Roberta_1LBERT_lambda50")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Youssef320/KD_Roberta_1LBERT_lambda50") model = AutoModelForSequenceClassification.from_pretrained("Youssef320/KD_Roberta_1LBERT_lambda50", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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by SFconvertbot - opened
- model.safetensors +3 -0
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version https://git-lfs.github.com/spec/v1
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oid sha256:eedfac8b7b3fa99d45b501568b322aa534f73a5715d8abad0906c4b44b5df9e6
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size 46505648
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