Instructions to use erickdp/xml-quantized-bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use erickdp/xml-quantized-bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="erickdp/xml-quantized-bert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("erickdp/xml-quantized-bert") model = AutoModelForSequenceClassification.from_pretrained("erickdp/xml-quantized-bert") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 752a2ac17aa47625d60437e223b102c866ef7376d76d7edd9a1e3409d38260d3
- Size of remote file:
- 919 MB
- SHA256:
- 1e03bdf829e58d583d35c3abaf52778b23797985261f11850d829d494b55993b
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