Text Classification
Transformers
PyTorch
TensorBoard
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use crest-data-systems/gitlab-mr-analysis-default-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use crest-data-systems/gitlab-mr-analysis-default-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="crest-data-systems/gitlab-mr-analysis-default-model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("crest-data-systems/gitlab-mr-analysis-default-model") model = AutoModelForSequenceClassification.from_pretrained("crest-data-systems/gitlab-mr-analysis-default-model") - Notebooks
- Google Colab
- Kaggle
Gated model You can list files but not access them
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