Instructions to use airkingbd/dplm_150m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use airkingbd/dplm_150m with Transformers:
# Load model directly from transformers import AutoTokenizer, EsmForDPLM tokenizer = AutoTokenizer.from_pretrained("airkingbd/dplm_150m") model = EsmForDPLM.from_pretrained("airkingbd/dplm_150m", device_map="auto") - Notebooks
- Google Colab
- Kaggle
update config
Browse files- config.json +1 -1
config.json
CHANGED
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@@ -1,7 +1,7 @@
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{
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"_name_or_path": "facebook/esm2_t30_150M_UR50D",
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"architectures": [
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"
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],
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"attention_probs_dropout_prob": 0.0,
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"classifier_dropout": null,
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{
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"_name_or_path": "facebook/esm2_t30_150M_UR50D",
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"architectures": [
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+
"EsmForDPLM"
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],
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"attention_probs_dropout_prob": 0.0,
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"classifier_dropout": null,
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