Instructions to use samaksh-khatri-crest-data/gitlab-mr-analysis-default-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use samaksh-khatri-crest-data/gitlab-mr-analysis-default-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="samaksh-khatri-crest-data/gitlab-mr-analysis-default-model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("samaksh-khatri-crest-data/gitlab-mr-analysis-default-model") model = AutoModelForSequenceClassification.from_pretrained("samaksh-khatri-crest-data/gitlab-mr-analysis-default-model") - 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 sha256:214f639b927182e0724b0adb49a1f0f88f585f6acb0e7971a69324212dd4bdad
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size 267844872
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