Instructions to use anahitapld/DABert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use anahitapld/DABert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="anahitapld/DABert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("anahitapld/DABert") model = AutoModelForSequenceClassification.from_pretrained("anahitapld/DABert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
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Parent(s): 955e752
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Browse files- training_args.bin +3 -0
training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:10b909dda37aeac372a73320469842e8345a78dbb7bd2b86b4895e6d7f778ee2
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