Text Classification
Transformers
Safetensors
English
llama4_text
text-generation
Generated from Trainer
sft
trl
Instructions to use dangvansam/MobileLLM-R1-140M-turn-detection-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dangvansam/MobileLLM-R1-140M-turn-detection-en with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dangvansam/MobileLLM-R1-140M-turn-detection-en")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("dangvansam/MobileLLM-R1-140M-turn-detection-en") model = AutoModelForCausalLM.from_pretrained("dangvansam/MobileLLM-R1-140M-turn-detection-en", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from dangvansam/MobileLLM-R1-140M-turn-detection-en: direct link, hf CLI and curl.
- Browser
- Download file 17.2 MB
-
https://huggingface.co/dangvansam/MobileLLM-R1-140M-turn-detection-en/resolve/main/tokenizer.json
- Command line
-
hf download hf://dangvansam/MobileLLM-R1-140M-turn-detection-en/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/dangvansam/MobileLLM-R1-140M-turn-detection-en/resolve/main/tokenizer.json
17.2 MB
- Xet hash:
- 3b67b6c86551e92f9058b1917400d8db32b672d9c801a0121be5b92355cc0c08
- Size of remote file:
- 17.2 MB
- SHA256:
- 8462b5b8e7d9c25fb5581c3e4560717862d728887b4bb7cdf54f7cea3e44547e
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