Text Classification
Transformers
PyTorch
English
bert
text-classfication
int8
Intel® Neural Compressor
PostTrainingStatic
text-embeddings-inference
Instructions to use Intel/bert-base-uncased-CoLA-int8-inc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Intel/bert-base-uncased-CoLA-int8-inc with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Intel/bert-base-uncased-CoLA-int8-inc")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Intel/bert-base-uncased-CoLA-int8-inc") model = AutoModelForSequenceClassification.from_pretrained("Intel/bert-base-uncased-CoLA-int8-inc", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4cd6d2b99e73fa54835c77b2d92e0a5515c57c451ca53e0971189d29421998e7
- Size of remote file:
- 112 MB
- SHA256:
- e9ce2cf84574cc10af3f6d8429eee69a61ce30cdbc388638463f81dc787d4445
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