Instructions to use zzhifz/human-needs-bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zzhifz/human-needs-bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="zzhifz/human-needs-bert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("zzhifz/human-needs-bert") model = AutoModelForSequenceClassification.from_pretrained("zzhifz/human-needs-bert", device_map="auto") - 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:a8199b6e631079e817282e9271528665fe0c42d0ea6ba6676921bced9e2dbf08
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size 437961724
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