Text Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use halu1003/LLMClassWork1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use halu1003/LLMClassWork1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="halu1003/LLMClassWork1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("halu1003/LLMClassWork1") model = AutoModelForSequenceClassification.from_pretrained("halu1003/LLMClassWork1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 54d44fe0c8a9054b0b18ac70629fb05d52ee64668be31c68d811b4fa0eb24ef7
- Size of remote file:
- 4.79 kB
- SHA256:
- 61b56e5f82cc951887c4c01ff028e462450cb914b81691299dbf652a64752f11
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