Instructions to use erickdp/albert-tiny-q-o-032123 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use erickdp/albert-tiny-q-o-032123 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="erickdp/albert-tiny-q-o-032123")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("erickdp/albert-tiny-q-o-032123") model = AutoModelForSequenceClassification.from_pretrained("erickdp/albert-tiny-q-o-032123") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bb4afc15aa04b25a87166b99660f0fa540c1bee22b48b82e06ad607725081107
- Size of remote file:
- 21.4 MB
- SHA256:
- c5c81865a9be474732c3a0b49f2144e1c7041c327c795c32aba3a816e3a6b851
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