Instructions to use mwhanna/ChapGTP with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mwhanna/ChapGTP with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="mwhanna/ChapGTP")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("mwhanna/ChapGTP") model = AutoModelForMaskedLM.from_pretrained("mwhanna/ChapGTP") - 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:a9c1345e15f31c35c2c8b724ba5e2e6f5a66b6f8d95f58176899aebd978f0dcf
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size 204839744
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