Text Classification
Transformers
PyTorch
English
bert
text-classfication
int8
Intel® Neural Compressor
PostTrainingStatic
text-embeddings-inference
Instructions to use Intel/bert-large-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-large-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-large-uncased-cola-int8-inc")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Intel/bert-large-uncased-cola-int8-inc") model = AutoModelForSequenceClassification.from_pretrained("Intel/bert-large-uncased-cola-int8-inc", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Intel/bert-large-uncased-cola-int8-inc: direct link, hf CLI and curl.
- Browser
- Download file 388 MB
-
https://huggingface.co/Intel/bert-large-uncased-cola-int8-inc/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Intel/bert-large-uncased-cola-int8-inc/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Intel/bert-large-uncased-cola-int8-inc/resolve/main/pytorch_model.bin
388 MB
- Xet hash:
- e60c78815f404355b2a4e4e73b39b0205fc35c46d8a94c886e30f27470dfc578
- Size of remote file:
- 388 MB
- SHA256:
- f5d8f2beddb3b586c5a11455625ddd7bf2b7ef2e7f8471a696b0087c5076aba5
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