Instructions to use ModelTC/roberta-base-squad2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ModelTC/roberta-base-squad2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="ModelTC/roberta-base-squad2")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("ModelTC/roberta-base-squad2") model = AutoModelForQuestionAnswering.from_pretrained("ModelTC/roberta-base-squad2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download optimizer.pt from ModelTC/roberta-base-squad2: direct link, hf CLI and curl.
- Browser
- Download file 993 MB
-
https://huggingface.co/ModelTC/roberta-base-squad2/resolve/refs%2Fpr%2F1/optimizer.pt
- Command line
-
hf download hf://ModelTC/roberta-base-squad2@refs/pr/1/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/ModelTC/roberta-base-squad2/resolve/refs%2Fpr%2F1/optimizer.pt
993 MB
- Xet hash:
- 9ef595688cb7278d341f8c3527f5960581f656cf591e616d398550c4ddd22ea4
- Size of remote file:
- 993 MB
- SHA256:
- add7dd77d93e5413cca793bad0173c339d7ae4c3e887dc152daeecb23119dc0c
路
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