Text Classification
Transformers
PyTorch
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use dflcmu/JQED_QA_question_classifer_final with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dflcmu/JQED_QA_question_classifer_final with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dflcmu/JQED_QA_question_classifer_final")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("dflcmu/JQED_QA_question_classifer_final") model = AutoModelForSequenceClassification.from_pretrained("dflcmu/JQED_QA_question_classifer_final", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from dflcmu/JQED_QA_question_classifer_final: direct link, hf CLI and curl.
- Browser
- Download file 268 MB
-
https://huggingface.co/dflcmu/JQED_QA_question_classifer_final/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://dflcmu/JQED_QA_question_classifer_final/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/dflcmu/JQED_QA_question_classifer_final/resolve/main/pytorch_model.bin
268 MB
- Xet hash:
- 4dcae0db6ae511f4af1677bbe005bea5430ec55594457233220b8f7119471cbb
- Size of remote file:
- 268 MB
- SHA256:
- 06c42470654719125a93188d630581e992334a0a8a26cb6a9264595d728d13c2
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