Instructions to use Ct1tz/Codebert-Base-B2D4G5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ct1tz/Codebert-Base-B2D4G5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Ct1tz/Codebert-Base-B2D4G5")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Ct1tz/Codebert-Base-B2D4G5") model = AutoModelForSequenceClassification.from_pretrained("Ct1tz/Codebert-Base-B2D4G5") - Notebooks
- Google Colab
- Kaggle
Upload rng_state.pth
Browse files- rng_state.pth +3 -0
rng_state.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:ef1ebf7a63807b37b8408a59dc968388fadd98e83a6b6208206e53721356f1b0
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size 14244
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