Instructions to use Amiri/Bert_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Amiri/Bert_test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Amiri/Bert_test")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Amiri/Bert_test") model = AutoModelForSequenceClassification.from_pretrained("Amiri/Bert_test") - 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 sha256:6f892c4fbc3d0e323c96f249c5e1e9a66ebb7b6ac3c8e8e74b4fe6abf9b00878
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size 433284180
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