Text Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use vtiyyal1/quality_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vtiyyal1/quality_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="vtiyyal1/quality_model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("vtiyyal1/quality_model") model = AutoModelForSequenceClassification.from_pretrained("vtiyyal1/quality_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 872ee6b24693793c555fd96f43e6ba7df68f015a76e9e6b54b4371827e030637
- Size of remote file:
- 4.92 kB
- SHA256:
- 05948253c7115e89fdc7643f520479abac3371a2e77d44085039f88da00e22b7
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