Text Classification
Transformers
PyTorch
Safetensors
English
bert
nlp
code
classification
text-embeddings-inference
Instructions to use vishnun/codenlbert-sm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vishnun/codenlbert-sm with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="vishnun/codenlbert-sm")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("vishnun/codenlbert-sm") model = AutoModelForSequenceClassification.from_pretrained("vishnun/codenlbert-sm") - Notebooks
- Google Colab
- Kaggle
ONNX-converted version of the model
#9 opened over 2 years ago
by
asofter
Adding `safetensors` variant of this model
#7 opened almost 3 years ago
by
SFconvertbot
Adding `safetensors` variant of this model
#6 opened almost 3 years ago
by
SFconvertbot
Adding `safetensors` variant of this model
#5 opened almost 3 years ago
by
SFconvertbot
Adding `safetensors` variant of this model
#4 opened almost 3 years ago
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SFconvertbot
Adding `safetensors` variant of this model
#3 opened almost 3 years ago
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SFconvertbot
Adding `safetensors` variant of this model
#2 opened almost 3 years ago
by
SFconvertbot
Adding `safetensors` variant of this model
#1 opened almost 3 years ago
by
SFconvertbot