Text Classification
Transformers
PyTorch
English
roberta
distilroberta
sentiment
emotion
twitter
reddit
text-embeddings-inference
Instructions to use michelleli99/emotion_text_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use michelleli99/emotion_text_classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="michelleli99/emotion_text_classifier")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("michelleli99/emotion_text_classifier") model = AutoModelForSequenceClassification.from_pretrained("michelleli99/emotion_text_classifier", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from michelleli99/emotion_text_classifier: direct link, hf CLI and curl.
- Browser
- Download file 413 Bytes
-
https://huggingface.co/michelleli99/emotion_text_classifier/resolve/refs%2Fpr%2F13/tokenizer_config.json
- Command line
-
hf download hf://michelleli99/emotion_text_classifier@refs/pr/13/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/michelleli99/emotion_text_classifier/resolve/refs%2Fpr%2F13/tokenizer_config.json
413 Bytes
| { | |
| "add_prefix_space": false, | |
| "bos_token": "<s>", | |
| "cls_token": "<s>", | |
| "eos_token": "</s>", | |
| "errors": "replace", | |
| "mask_token": "<mask>", | |
| "model_max_length": 512, | |
| "name_or_path": "j-hartmann/emotion-english-distilroberta-base", | |
| "pad_token": "<pad>", | |
| "sep_token": "</s>", | |
| "special_tokens_map_file": null, | |
| "tokenizer_class": "RobertaTokenizer", | |
| "trim_offsets": true, | |
| "unk_token": "<unk>" | |
| } | |