Feature Extraction
Transformers
Safetensors
English
llama
text-generation
text-generation-inference
unsloth
phi-4
information-extraction
text-embeddings-inference
4-bit precision
bitsandbytes
Instructions to use RahulPi/Email_Text_Formatter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RahulPi/Email_Text_Formatter with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="RahulPi/Email_Text_Formatter")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("RahulPi/Email_Text_Formatter") model = AutoModelForCausalLM.from_pretrained("RahulPi/Email_Text_Formatter", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download special_tokens_map.json from RahulPi/Email_Text_Formatter: direct link, hf CLI and curl.
- Browser
- Download file 570 Bytes
-
https://huggingface.co/RahulPi/Email_Text_Formatter/resolve/main/special_tokens_map.json
- Command line
-
hf download hf://RahulPi/Email_Text_Formatter/special_tokens_map.json
-
curl -L -o special_tokens_map.json https://huggingface.co/RahulPi/Email_Text_Formatter/resolve/main/special_tokens_map.json
570 Bytes
| { | |
| "bos_token": { | |
| "content": "<|endoftext|>", | |
| "lstrip": true, | |
| "normalized": false, | |
| "rstrip": true, | |
| "single_word": false | |
| }, | |
| "eos_token": { | |
| "content": "<|im_end|>", | |
| "lstrip": true, | |
| "normalized": false, | |
| "rstrip": true, | |
| "single_word": false | |
| }, | |
| "pad_token": { | |
| "content": "<|dummy_87|>", | |
| "lstrip": true, | |
| "normalized": false, | |
| "rstrip": true, | |
| "single_word": false | |
| }, | |
| "unk_token": { | |
| "content": "�", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| } | |
| } | |