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 run-1/checkpoint-1069/optimizer.pt from AilingDAI/HM_1: direct link, hf CLI and curl.
- Browser
- Download file 536 MB
-
https://huggingface.co/AilingDAI/HM_1/resolve/main/run-1/checkpoint-1069/optimizer.pt
- Command line
-
hf download hf://AilingDAI/HM_1/run-1/checkpoint-1069/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/AilingDAI/HM_1/resolve/main/run-1/checkpoint-1069/optimizer.pt
536 MB
- Xet hash:
- 3c4d7ab29cdb5e8a2acade395974bb979ef49abde8c131a6b67bd6409fe4288c
- Size of remote file:
- 536 MB
- SHA256:
- fa0df246bbb8e447782f3bd52ffc79458807165381545d1ccf9415174725bc38
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