Instructions to use Ifenna/dbert-3epoch with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ifenna/dbert-3epoch with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "question-answering" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("question-answering", model="Ifenna/dbert-3epoch")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Ifenna/dbert-3epoch") model = AutoModelForQuestionAnswering.from_pretrained("Ifenna/dbert-3epoch", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download optimizer.pt from Ifenna/dbert-3epoch: direct link, hf CLI and curl.
- Browser
- Download file 531 MB
-
https://huggingface.co/Ifenna/dbert-3epoch/resolve/refs%2Fpr%2F1/optimizer.pt
- Command line
-
hf download hf://Ifenna/dbert-3epoch@refs/pr/1/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/Ifenna/dbert-3epoch/resolve/refs%2Fpr%2F1/optimizer.pt
531 MB
- Xet hash:
- dc0d08d387b3a7086fb02a889d7e496ce76946efd964bc27238680a1992d7618
- Size of remote file:
- 531 MB
- SHA256:
- 2623f91c35c2c6a1a4f7739783d71e5bfe398f274eabf2ebce07fb5c4e88ea03
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