Instructions to use sasi2400/IntangibleBERT2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sasi2400/IntangibleBERT2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="sasi2400/IntangibleBERT2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("sasi2400/IntangibleBERT2") model = AutoModelForSequenceClassification.from_pretrained("sasi2400/IntangibleBERT2") - 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:d69aa39178ae06e0d5d3c75b5e5758ea2bb5f4e48ee901d042caa341565d88e6
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size 437958648
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