Instructions to use TCMVince/FL_ModelForMaskedLM_legal_lin256_base_512_768_lm_LR5e-5-fixed with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TCMVince/FL_ModelForMaskedLM_legal_lin256_base_512_768_lm_LR5e-5-fixed with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="TCMVince/FL_ModelForMaskedLM_legal_lin256_base_512_768_lm_LR5e-5-fixed", trust_remote_code=True)# Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("TCMVince/FL_ModelForMaskedLM_legal_lin256_base_512_768_lm_LR5e-5-fixed", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
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