Instructions to use PremalMatalia/electra-base-best-squad2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PremalMatalia/electra-base-best-squad2 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="PremalMatalia/electra-base-best-squad2")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("PremalMatalia/electra-base-best-squad2") model = AutoModelForQuestionAnswering.from_pretrained("PremalMatalia/electra-base-best-squad2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from PremalMatalia/electra-base-best-squad2: direct link, hf CLI and curl.
- Browser
- Download file 436 MB
-
https://huggingface.co/PremalMatalia/electra-base-best-squad2/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://PremalMatalia/electra-base-best-squad2/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/PremalMatalia/electra-base-best-squad2/resolve/main/pytorch_model.bin
436 MB
- Xet hash:
- f78757fb06a5d3ae322cbfce24be4433fe23b5d4b7698b344ac855b490a7c3f4
- Size of remote file:
- 436 MB
- SHA256:
- f4323e6f308463235b57dbaaefd4fba4c66cdf101ff82279b8422d13ff8b590e
路
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.