Instructions to use insaf/Flaubert-DA_initial_no_Augmentation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use insaf/Flaubert-DA_initial_no_Augmentation with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="insaf/Flaubert-DA_initial_no_Augmentation")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("insaf/Flaubert-DA_initial_no_Augmentation") model = AutoModelForSequenceClassification.from_pretrained("insaf/Flaubert-DA_initial_no_Augmentation") - 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:fba6aa78f9c875543b8ccb1acd562cdbe34ac91f05be12661b8f4b1ed0ba1f25
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size 549318816
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