Instructions to use ccdv/lsg-legal-base-uncased-4096 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ccdv/lsg-legal-base-uncased-4096 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="ccdv/lsg-legal-base-uncased-4096", trust_remote_code=True)# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("ccdv/lsg-legal-base-uncased-4096", trust_remote_code=True) model = AutoModelForPreTraining.from_pretrained("ccdv/lsg-legal-base-uncased-4096", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 97b23fc1e19298156c9e4bca6ab81f3a049e464dbf7b1a7c7660a7f78dfe9cf8
- Size of remote file:
- 548 MB
- SHA256:
- 59ab39937af0ffe8cabee271453988d9b72caec30f57dd42b5d72e134e8bff3f
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