Instructions to use magicslabnu/gate_OutEffHop_bert_base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use magicslabnu/gate_OutEffHop_bert_base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="magicslabnu/gate_OutEffHop_bert_base", trust_remote_code=True)# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("magicslabnu/gate_OutEffHop_bert_base", trust_remote_code=True) model = AutoModelForMaskedLM.from_pretrained("magicslabnu/gate_OutEffHop_bert_base", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6caeedf195e6ec5a91b0d51da242d3153e170b8e3d937c4613261109685d707a
- Size of remote file:
- 878 MB
- SHA256:
- e4124eb110f37636b796da1c1401a915b8bff28a85d5a0ccb10b4e62b1d2c6ca
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