Instructions to use microsoft/deberta-v2-xlarge-mnli with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/deberta-v2-xlarge-mnli with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="microsoft/deberta-v2-xlarge-mnli")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("microsoft/deberta-v2-xlarge-mnli") model = AutoModelForSequenceClassification.from_pretrained("microsoft/deberta-v2-xlarge-mnli", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Download config.json from microsoft/deberta-v2-xlarge-mnli: direct link, hf CLI and curl.
- Browser
- Download file 696 Bytes
-
https://huggingface.co/microsoft/deberta-v2-xlarge-mnli/resolve/0f6a42e33518de8fe040aa8dff9da023d98ca808/config.json
- Command line
-
hf download hf://microsoft/deberta-v2-xlarge-mnli@0f6a42e33518de8fe040aa8dff9da023d98ca808/config.json
-
curl -L -o config.json https://huggingface.co/microsoft/deberta-v2-xlarge-mnli/resolve/0f6a42e33518de8fe040aa8dff9da023d98ca808/config.json
696 Bytes
| { | |
| "model_type": "deberta-v2", | |
| "attention_probs_dropout_prob": 0.1, | |
| "hidden_act": "gelu", | |
| "hidden_dropout_prob": 0.1, | |
| "hidden_size": 1536, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 6144, | |
| "max_position_embeddings": 512, | |
| "relative_attention": true, | |
| "position_buckets": 256, | |
| "norm_rel_ebd": "layer_norm", | |
| "share_att_key": true, | |
| "pos_att_type": "p2c|c2p", | |
| "layer_norm_eps": 1e-7, | |
| "conv_kernel_size": 3, | |
| "conv_act": "gelu", | |
| "max_relative_positions": -1, | |
| "position_biased_input": false, | |
| "num_attention_heads": 24, | |
| "attention_head_size": 64, | |
| "num_hidden_layers": 24, | |
| "type_vocab_size": 0, | |
| "vocab_size": 128100, | |
| "pooling": { | |
| "dropout": 0, | |
| "hidden_act": "gelu" | |
| } | |
| } | |