Text Classification
Transformers
Safetensors
bert
text-embeddings-inference
8-bit precision
bitsandbytes
Instructions to use SamagraDataGov/e2e_testtt_quantized with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SamagraDataGov/e2e_testtt_quantized with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="SamagraDataGov/e2e_testtt_quantized")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("SamagraDataGov/e2e_testtt_quantized") model = AutoModelForSequenceClassification.from_pretrained("SamagraDataGov/e2e_testtt_quantized") - Notebooks
- Google Colab
- Kaggle
Upload folder using huggingface_hub
Browse files- model.safetensors +1 -1
model.safetensors
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