Instructions to use marcosremar2/cefr-classifier-pt-optimized with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use marcosremar2/cefr-classifier-pt-optimized with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="marcosremar2/cefr-classifier-pt-optimized")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("marcosremar2/cefr-classifier-pt-optimized") model = AutoModelForSequenceClassification.from_pretrained("marcosremar2/cefr-classifier-pt-optimized", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download config.json from marcosremar2/cefr-classifier-pt-optimized: direct link, hf CLI and curl.
- Browser
- Download file 884 Bytes
-
https://huggingface.co/marcosremar2/cefr-classifier-pt-optimized/resolve/main/config.json
- Command line
-
hf download hf://marcosremar2/cefr-classifier-pt-optimized/config.json
-
curl -L -o config.json https://huggingface.co/marcosremar2/cefr-classifier-pt-optimized/resolve/main/config.json
884 Bytes
| { | |
| "architectures": [ | |
| "XLMRobertaForSequenceClassification" | |
| ], | |
| "attention_probs_dropout_prob": 0.1, | |
| "bos_token_id": 0, | |
| "classifier_dropout": null, | |
| "dtype": "float32", | |
| "eos_token_id": 2, | |
| "hidden_act": "gelu", | |
| "hidden_dropout_prob": 0.1, | |
| "hidden_size": 768, | |
| "id2label": { | |
| "0": "A1", | |
| "1": "A2", | |
| "2": "B1", | |
| "3": "B2", | |
| "4": "C1", | |
| "5": "C2" | |
| }, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 3072, | |
| "label2id": { | |
| "A1": 0, | |
| "A2": 1, | |
| "B1": 2, | |
| "B2": 3, | |
| "C1": 4, | |
| "C2": 5 | |
| }, | |
| "layer_norm_eps": 1e-05, | |
| "max_position_embeddings": 514, | |
| "model_type": "xlm-roberta", | |
| "num_attention_heads": 12, | |
| "num_hidden_layers": 12, | |
| "output_past": true, | |
| "pad_token_id": 1, | |
| "position_embedding_type": "absolute", | |
| "transformers_version": "4.57.3", | |
| "type_vocab_size": 1, | |
| "use_cache": true, | |
| "vocab_size": 250002 | |
| } | |