Instructions to use erickdp/beto-base-peft-p-tuning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use erickdp/beto-base-peft-p-tuning with PEFT:
from peft import PeftModel from transformers import AutoModelForSequenceClassification base_model = AutoModelForSequenceClassification.from_pretrained("dccuchile/bert-base-spanish-wwm-uncased") model = PeftModel.from_pretrained(base_model, "erickdp/beto-base-peft-p-tuning") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0c1748115535c2877b660579c400bb9ec9ff39e0b0cfa6cfdc526ccacc509a5d
- Size of remote file:
- 72.1 kB
- SHA256:
- a1d3639b9121565c5eaa1854850e857547c0aeaa5d50553993b53f8e3ce44640
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