Instructions to use zzhifz/human-needs-albert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zzhifz/human-needs-albert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="zzhifz/human-needs-albert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("zzhifz/human-needs-albert") model = AutoModelForSequenceClassification.from_pretrained("zzhifz/human-needs-albert", 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:e9d592a2c0563959ef201b8ff9b5991aaa0bff76d85e756f127820fb96b0dd67
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size 46746988
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