Instructions to use quanqnv19/hsd_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use quanqnv19/hsd_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="quanqnv19/hsd_model")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("quanqnv19/hsd_model") model = AutoModelForMaskedLM.from_pretrained("quanqnv19/hsd_model") - 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 sha256:264f782ebb3ef7f52ae306ba59aea2f059a620146f453ad9f8357b0067eb3033
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size 540026460
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