Instructions to use zzhifz/human-needs-roberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zzhifz/human-needs-roberta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="zzhifz/human-needs-roberta")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("zzhifz/human-needs-roberta") model = AutoModelForSequenceClassification.from_pretrained("zzhifz/human-needs-roberta", 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:c382c3a9931c4d7fc83d08b74840c92738e57e4f909674c69ed61e0e86944dd4
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size 57123180
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