Text Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use AilingDAI/HM_1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AilingDAI/HM_1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AilingDAI/HM_1")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AilingDAI/HM_1") model = AutoModelForSequenceClassification.from_pretrained("AilingDAI/HM_1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from AilingDAI/HM_1: direct link, hf CLI and curl.
- Browser
- Download file 4.98 kB
-
https://huggingface.co/AilingDAI/HM_1/resolve/main/training_args.bin
- Command line
-
hf download hf://AilingDAI/HM_1/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/AilingDAI/HM_1/resolve/main/training_args.bin
4.98 kB
- Xet hash:
- e6c948c013fdbb3fcf29cc37c264f9b6a39dfada16de7e2cdadfefdde3d2f417
- Size of remote file:
- 4.98 kB
- SHA256:
- 151c174a2ffa585401c97ac1e4a204237f812a0791c32e61c4a49909b4de743c
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