Instructions to use Marco127/AlBERToBatchMaxWeightNo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Marco127/AlBERToBatchMaxWeightNo with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Marco127/AlBERToBatchMaxWeightNo")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Marco127/AlBERToBatchMaxWeightNo") model = AutoModelForSequenceClassification.from_pretrained("Marco127/AlBERToBatchMaxWeightNo") - 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 sha256:11ccd6c8b9b1a611e7b5b86e0a6fb97d96b1541593a8046c05d906c5b9470261
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size 438082796
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