Instructions to use ylacombe/w2v-bert-2.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ylacombe/w2v-bert-2.0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="ylacombe/w2v-bert-2.0")# Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("ylacombe/w2v-bert-2.0") model = AutoModel.from_pretrained("ylacombe/w2v-bert-2.0") - Notebooks
- Google Colab
- Kaggle
Upload model
#9
by ylacombe - opened
- config.json +1 -0
config.json
CHANGED
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@@ -1,5 +1,6 @@
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{
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"activation_dropout": 0.0,
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"adapter_kernel_size": 3,
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"adapter_stride": 2,
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"add_adapter": false,
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{
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"activation_dropout": 0.0,
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"adapter_act": "relu",
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"adapter_kernel_size": 3,
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"adapter_stride": 2,
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"add_adapter": false,
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