Instructions to use andreasmadsen/efficient_mlm_m0.15-801010 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use andreasmadsen/efficient_mlm_m0.15-801010 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="andreasmadsen/efficient_mlm_m0.15-801010")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("andreasmadsen/efficient_mlm_m0.15-801010") model = AutoModelForMaskedLM.from_pretrained("andreasmadsen/efficient_mlm_m0.15-801010", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download config.json from andreasmadsen/efficient_mlm_m0.15-801010: direct link, hf CLI and curl.
- Browser
- Download file 736 Bytes
-
https://huggingface.co/andreasmadsen/efficient_mlm_m0.15-801010/resolve/refs%2Fpr%2F1/config.json
- Command line
-
hf download hf://andreasmadsen/efficient_mlm_m0.15-801010@refs/pr/1/config.json
-
curl -L -o config.json https://huggingface.co/andreasmadsen/efficient_mlm_m0.15-801010/resolve/refs%2Fpr%2F1/config.json
736 Bytes
| { | |
| "_name_or_path": "/tmp/andreasmadsen/efficient_mlm_m0.15-801010", | |
| "architectures": [ | |
| "RobertaPreLayerNormForMaskedLM" | |
| ], | |
| "attention_probs_dropout_prob": 0.1, | |
| "bos_token_id": 0, | |
| "classifier_dropout": null, | |
| "eos_token_id": 2, | |
| "hidden_act": "gelu", | |
| "hidden_dropout_prob": 0.1, | |
| "hidden_size": 1024, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 4096, | |
| "layer_norm_eps": 1e-05, | |
| "max_position_embeddings": 514, | |
| "model_type": "roberta-prelayernorm", | |
| "num_attention_heads": 16, | |
| "num_hidden_layers": 24, | |
| "pad_token_id": 1, | |
| "position_embedding_type": "absolute", | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.25.0.dev0", | |
| "type_vocab_size": 1, | |
| "use_cache": true, | |
| "vocab_size": 50265 | |
| } | |