Instructions to use gianma/classifierEUtopLevelBDWdIntRebalanced with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gianma/classifierEUtopLevelBDWdIntRebalanced with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="gianma/classifierEUtopLevelBDWdIntRebalanced")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("gianma/classifierEUtopLevelBDWdIntRebalanced") model = AutoModelForSequenceClassification.from_pretrained("gianma/classifierEUtopLevelBDWdIntRebalanced", device_map="auto") - 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 sha256:38aaad798abba46e5e70d4a678b7e7510142a0d448968a03d3da2be80d87a8f4
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size 444348456
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