Instructions to use Rostlab/prot_t5_xl_half_uniref50-enc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Rostlab/prot_t5_xl_half_uniref50-enc with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Rostlab/prot_t5_xl_half_uniref50-enc") model = AutoModel.from_pretrained("Rostlab/prot_t5_xl_half_uniref50-enc") - Notebooks
- Google Colab
- Kaggle
Adding ONNX file of this model
#2
by Delower - opened
- .gitattributes +1 -0
- README.md +1 -0
- onnx/config.json +32 -0
- onnx/model.onnx +3 -0
- onnx/model.onnx_data +3 -0
.gitattributes
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@@ -25,3 +25,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zstandard filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zstandard filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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onnx/model.onnx_data filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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tags:
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- protein language model
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datasets:
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- UniRef50
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---
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---
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tags:
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- protein language model
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- onnx
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datasets:
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- UniRef50
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---
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onnx/config.json
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{
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"_attn_implementation_autoset": true,
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"architectures": [
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"T5EncoderModel"
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],
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"classifier_dropout": 0.0,
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"d_ff": 16384,
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"d_kv": 128,
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"d_model": 1024,
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"decoder_start_token_id": 0,
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"dense_act_fn": "relu",
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"dropout_rate": 0.1,
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"eos_token_id": 1,
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"feed_forward_proj": "relu",
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"initializer_factor": 1.0,
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"is_encoder_decoder": true,
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"is_gated_act": false,
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"layer_norm_epsilon": 1e-06,
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"model_type": "t5",
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"n_positions": 512,
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"num_decoder_layers": 24,
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"num_heads": 32,
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"num_layers": 24,
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"output_past": true,
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"pad_token_id": 0,
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"relative_attention_max_distance": 128,
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"relative_attention_num_buckets": 32,
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"torch_dtype": "float32",
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"transformers_version": "4.51.3",
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"use_cache": false,
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"vocab_size": 128
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}
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onnx/model.onnx
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version https://git-lfs.github.com/spec/v1
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oid sha256:4476b8573aed2ef1afd61c294d0d59e4168de5f382aa4ae2700b4e6194f5eb3f
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size 1101141
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onnx/model.onnx_data
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version https://git-lfs.github.com/spec/v1
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oid sha256:b812ad1622555127939851ba7e87ee20b4865d0583dfd716ff392a2c9328e972
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size 11275026432
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