Instructions to use hf-tiny-model-private/tiny-random-RoFormerForMultipleChoice with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-tiny-model-private/tiny-random-RoFormerForMultipleChoice with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-RoFormerForMultipleChoice") model = AutoModelForMultipleChoice.from_pretrained("hf-tiny-model-private/tiny-random-RoFormerForMultipleChoice", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download config.json from hf-tiny-model-private/tiny-random-RoFormerForMultipleChoice: direct link, hf CLI and curl.
- Browser
- Download file 651 Bytes
-
https://huggingface.co/hf-tiny-model-private/tiny-random-RoFormerForMultipleChoice/resolve/2df4e12781d5441eac192b9eed281be46ec7a8e9/config.json
- Command line
-
hf download hf://hf-tiny-model-private/tiny-random-RoFormerForMultipleChoice@2df4e12781d5441eac192b9eed281be46ec7a8e9/config.json
-
curl -L -o config.json https://huggingface.co/hf-tiny-model-private/tiny-random-RoFormerForMultipleChoice/resolve/2df4e12781d5441eac192b9eed281be46ec7a8e9/config.json
651 Bytes
| { | |
| "_name_or_path": "tiny_models/roformer/RoFormerForMultipleChoice", | |
| "architectures": [ | |
| "RoFormerForMultipleChoice" | |
| ], | |
| "attention_probs_dropout_prob": 0.1, | |
| "embedding_size": 32, | |
| "hidden_act": "gelu", | |
| "hidden_dropout_prob": 0.1, | |
| "hidden_size": 32, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 37, | |
| "layer_norm_eps": 1e-12, | |
| "max_position_embeddings": 512, | |
| "model_type": "roformer", | |
| "num_attention_heads": 4, | |
| "num_hidden_layers": 5, | |
| "pad_token_id": 0, | |
| "rotary_value": false, | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.28.0.dev0", | |
| "type_vocab_size": 16, | |
| "use_cache": true, | |
| "vocab_size": 50000 | |
| } | |