Instructions to use gzquse/BioMethodModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gzquse/BioMethodModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="gzquse/BioMethodModel")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("gzquse/BioMethodModel") model = AutoModelForSequenceClassification.from_pretrained("gzquse/BioMethodModel") - 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 sha256:7f452db0f96a8fa8f7d0d42c018479f19ffbfb80e210b1b32dbc960fb3a6c6d3
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size 268401636
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