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 from transformers import pipeline pipe = pipeline("question-answering", model="Amani27/final_exp_v2_without_pp_weakdap_r2")# 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") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:be6f8a64478f14def14e7551c1dd2ec971dbfd7c99a4e96329924e8fb2a2bf40
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size 1109842416
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