Instructions to use Rostlab/prot_t5_base_mt_uniref50 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Rostlab/prot_t5_base_mt_uniref50 with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "summarization" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("summarization", model="Rostlab/prot_t5_base_mt_uniref50")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelWithLMHead tokenizer = AutoTokenizer.from_pretrained("Rostlab/prot_t5_base_mt_uniref50") model = AutoModelWithLMHead.from_pretrained("Rostlab/prot_t5_base_mt_uniref50", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download config.json from Rostlab/prot_t5_base_mt_uniref50: direct link, hf CLI and curl.
- Browser
- Download file 812 Bytes
-
https://huggingface.co/Rostlab/prot_t5_base_mt_uniref50/resolve/789313989802985beea28e75a5fc5b7e65bf1554/config.json
- Command line
-
hf download hf://Rostlab/prot_t5_base_mt_uniref50@789313989802985beea28e75a5fc5b7e65bf1554/config.json
-
curl -L -o config.json https://huggingface.co/Rostlab/prot_t5_base_mt_uniref50/resolve/789313989802985beea28e75a5fc5b7e65bf1554/config.json
812 Bytes
| { | |
| "architectures": [ | |
| "T5WithLMHeadModel" | |
| ], | |
| "d_ff": 2048, | |
| "d_kv": 64, | |
| "d_model": 768, | |
| "decoder_start_token_id": 0, | |
| "dropout_rate": 0.1, | |
| "eos_token_id": 1, | |
| "feed_forward_proj": "gated-gelu", | |
| "initializer_factor": 1.0, | |
| "is_encoder_decoder": true, | |
| "layer_norm_epsilon": 1e-06, | |
| "model_type": "t5", | |
| "num_decoder_layers": 12, | |
| "num_heads": 12, | |
| "num_layers": 12, | |
| "output_past": true, | |
| "pad_token_id": 0, | |
| "relative_attention_num_buckets": 32, | |
| "tie_word_embeddings": false, | |
| "use_cache": true, | |
| "task_specific_params": { | |
| "summarization": { | |
| "early_stopping": true, | |
| "length_penalty": 2.0, | |
| "max_length": 3, | |
| "min_length": 3, | |
| "no_repeat_ngram_size": 3, | |
| "num_beams": 4, | |
| "prefix": "predict protein ms : " | |
| } | |
| }, | |
| "vocab_size": 256 | |
| } | |