Instructions to use Amani27/final_exp_v2_without_pp_weakdap_r2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Amani27/final_exp_v2_without_pp_weakdap_r2 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="Amani27/final_exp_v2_without_pp_weakdap_r2")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Amani27/final_exp_v2_without_pp_weakdap_r2") model = AutoModelForQuestionAnswering.from_pretrained("Amani27/final_exp_v2_without_pp_weakdap_r2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Amani27/final_exp_v2_without_pp_weakdap_r2: direct link, hf CLI and curl.
- Browser
- Download file 17.1 MB
-
https://huggingface.co/Amani27/final_exp_v2_without_pp_weakdap_r2/resolve/main/tokenizer.json
- Command line
-
hf download hf://Amani27/final_exp_v2_without_pp_weakdap_r2/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Amani27/final_exp_v2_without_pp_weakdap_r2/resolve/main/tokenizer.json
17.1 MB
- Xet hash:
- edf81da0b6374e464030ff02dc2a105066add7cdda33467b0dd7bf45e32c0b68
- Size of remote file:
- 17.1 MB
- SHA256:
- c9b27583a20d30617ad09b9ca16eee71b7784668c5ea30dd7a8603083752f360
路
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