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:
- bc2d50a1510e19cea1784c62341e2fd38475015981b23eeb42885597d5841b29
- Size of remote file:
- 3.58 kB
- SHA256:
- 0c0c81048a61ee1d7a451db6924b9e0aaa76926817d0be2cb3e1a32f2d02ad18
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