Instructions to use TransQuest/monotransquest-hter-en_zh-wiki with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TransQuest/monotransquest-hter-en_zh-wiki with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="TransQuest/monotransquest-hter-en_zh-wiki")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("TransQuest/monotransquest-hter-en_zh-wiki") model = AutoModelForSequenceClassification.from_pretrained("TransQuest/monotransquest-hter-en_zh-wiki") - Notebooks
- Google Colab
- Kaggle
| { | |
| "_num_labels": 1, | |
| "architectures": [ | |
| "XLMRobertaForSequenceClassification" | |
| ], | |
| "attention_probs_dropout_prob": 0.1, | |
| "bad_words_ids": null, | |
| "bos_token_id": 0, | |
| "decoder_start_token_id": null, | |
| "do_sample": false, | |
| "early_stopping": false, | |
| "eos_token_id": 2, | |
| "finetuning_task": null, | |
| "hidden_act": "gelu", | |
| "hidden_dropout_prob": 0.1, | |
| "hidden_size": 1024, | |
| "id2label": { | |
| "0": "LABEL_0" | |
| }, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 4096, | |
| "is_decoder": false, | |
| "is_encoder_decoder": false, | |
| "label2id": { | |
| "LABEL_0": 0 | |
| }, | |
| "layer_norm_eps": 1e-05, | |
| "length_penalty": 1.0, | |
| "max_length": 20, | |
| "max_position_embeddings": 514, | |
| "min_length": 0, | |
| "model_type": "xlm-roberta", | |
| "no_repeat_ngram_size": 0, | |
| "num_attention_heads": 16, | |
| "num_beams": 1, | |
| "num_hidden_layers": 24, | |
| "num_return_sequences": 1, | |
| "output_attentions": false, | |
| "output_hidden_states": false, | |
| "output_past": true, | |
| "pad_token_id": 1, | |
| "prefix": null, | |
| "pruned_heads": {}, | |
| "repetition_penalty": 1.0, | |
| "task_specific_params": null, | |
| "temperature": 1.0, | |
| "top_k": 50, | |
| "top_p": 1.0, | |
| "torchscript": false, | |
| "type_vocab_size": 1, | |
| "use_bfloat16": false, | |
| "vocab_size": 250002 | |
| } | |