Instructions to use Babak-Behkamkia/bert_VAST_long with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Babak-Behkamkia/bert_VAST_long with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Babak-Behkamkia/bert_VAST_long")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Babak-Behkamkia/bert_VAST_long") model = AutoModelForSequenceClassification.from_pretrained("Babak-Behkamkia/bert_VAST_long") - 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 sha256:7ce27600d597b4130fbd167a2a51bce617505f3caafae1dd8f69dd7663e011c3
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size 433273844
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