Text Classification
Transformers
Safetensors
English
roberta
economics
finance
inflation
inflation-expectations
reddit
distilroberta
Eval Results (legacy)
text-embeddings-inference
Instructions to use andreadm/reddit-pulse-bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use andreadm/reddit-pulse-bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="andreadm/reddit-pulse-bert")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("andreadm/reddit-pulse-bert") model = AutoModelForSequenceClassification.from_pretrained("andreadm/reddit-pulse-bert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from andreadm/reddit-pulse-bert: direct link, hf CLI and curl.
- Browser
- Download file 619 Bytes
-
https://huggingface.co/andreadm/reddit-pulse-bert/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://andreadm/reddit-pulse-bert/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/andreadm/reddit-pulse-bert/resolve/main/tokenizer_config.json
619 Bytes
| { | |
| "add_prefix_space": false, | |
| "backend": "tokenizers", | |
| "bos_token": "<s>", | |
| "clean_up_tokenization_spaces": true, | |
| "cls_token": "<s>", | |
| "eos_token": "</s>", | |
| "errors": "replace", | |
| "is_local": false, | |
| "local_files_only": false, | |
| "mask_token": "<mask>", | |
| "max_length": 512, | |
| "model_max_length": 512, | |
| "pad_to_multiple_of": null, | |
| "pad_token": "<pad>", | |
| "pad_token_type_id": 0, | |
| "padding_side": "right", | |
| "sep_token": "</s>", | |
| "stride": 0, | |
| "tokenizer_class": "RobertaTokenizer", | |
| "trim_offsets": true, | |
| "truncation_side": "right", | |
| "truncation_strategy": "longest_first", | |
| "unk_token": "<unk>" | |
| } | |