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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d20f3a49b17ade15f4ea5f61158eb7fe77e1ed554fc0d5da9e86846e80f34f3d
- Size of remote file:
- 1.06 kB
- SHA256:
- 256f7c5b54bec2c1cfc1bc6942726e0ce2c5d88fbbdc399027460710a0f701a7
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