Instructions to use erickdp/fine-tuning-albert-tiny-032123 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use erickdp/fine-tuning-albert-tiny-032123 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="erickdp/fine-tuning-albert-tiny-032123")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("erickdp/fine-tuning-albert-tiny-032123") model = AutoModelForSequenceClassification.from_pretrained("erickdp/fine-tuning-albert-tiny-032123", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0c157f0fdd9c81f7f3a0e5fadb2871d437077f0bf078f4036e929004d657140e
- Size of remote file:
- 21.4 MB
- SHA256:
- d066be6faa5ded061cc1b0793b8c6e2a651f637b2a1d9b044a3e39fc45f7c59a
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