Instructions to use magicslabnu/Clip_OutEffHop_bert_base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use magicslabnu/Clip_OutEffHop_bert_base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="magicslabnu/Clip_OutEffHop_bert_base", trust_remote_code=True)# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("magicslabnu/Clip_OutEffHop_bert_base", trust_remote_code=True) model = AutoModelForMaskedLM.from_pretrained("magicslabnu/Clip_OutEffHop_bert_base", trust_remote_code=True) - Notebooks
- Google Colab
- Kaggle
Upload configuration_bert.py
Browse files- configuration_bert.py +3 -3
configuration_bert.py
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from collections import OrderedDict
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from typing import Mapping
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logger = logging.get_logger(__name__)
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from collections import OrderedDict
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from typing import Mapping
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from transformers.configuration_utils import PretrainedConfig
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from transformers.onnx import OnnxConfig
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from transformers.utils import logging
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logger = logging.get_logger(__name__)
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