Instructions to use ELiRF/Longformer-es-mental-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ELiRF/Longformer-es-mental-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="ELiRF/Longformer-es-mental-base")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("ELiRF/Longformer-es-mental-base") model = AutoModelForMaskedLM.from_pretrained("ELiRF/Longformer-es-mental-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f7d28234949e6ebcda046a4e6eed08148e5df6cf4d40fdafe3169d080e1f29d3
- Size of remote file:
- 595 MB
- SHA256:
- 6f4b75e58316160d6d13b9572003dec2efa1ea5be73813074f2b735fcb8a6f57
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