Text Classification
Transformers
PyTorch
TensorBoard
English
French
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use Ahmedgr/DistilBert_Fine_tune_QuestionVsAnswer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ahmedgr/DistilBert_Fine_tune_QuestionVsAnswer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Ahmedgr/DistilBert_Fine_tune_QuestionVsAnswer")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Ahmedgr/DistilBert_Fine_tune_QuestionVsAnswer") model = AutoModelForSequenceClassification.from_pretrained("Ahmedgr/DistilBert_Fine_tune_QuestionVsAnswer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Ahmedgr/DistilBert_Fine_tune_QuestionVsAnswer: direct link, hf CLI and curl.
- Browser
- Download file 3.18 kB
-
https://huggingface.co/Ahmedgr/DistilBert_Fine_tune_QuestionVsAnswer/resolve/main/training_args.bin
- Command line
-
hf download hf://Ahmedgr/DistilBert_Fine_tune_QuestionVsAnswer/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Ahmedgr/DistilBert_Fine_tune_QuestionVsAnswer/resolve/main/training_args.bin
3.18 kB
- Xet hash:
- be44ea7acd1118a9097ff9243c4f5e0f09d0204bcc8765a35cd666c894089d0d
- Size of remote file:
- 3.18 kB
- SHA256:
- e1f39d4c58cfc387123aab8bfd6cb385a6d813ac5b451498b689a806b3628863
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