Instructions to use cx-olquinjica/AngXLMR-SYN with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cx-olquinjica/AngXLMR-SYN with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="cx-olquinjica/AngXLMR-SYN")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("cx-olquinjica/AngXLMR-SYN") model = AutoModelForMaskedLM.from_pretrained("cx-olquinjica/AngXLMR-SYN") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3404c1107d3482e331410346f9a8c32f25c9433376ac0007667e7cacb8f976bd
- Size of remote file:
- 1.11 GB
- SHA256:
- 7bb2408968ba500de898477180102ad9c9ece41cb0597ff5ddbf1c399d39c642
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