Text Classification
Transformers
Safetensors
English
distilbert
sentiment
football
fine-tuning
text-embeddings-inference
Instructions to use kevinkyi/Homework2_Finetuning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kevinkyi/Homework2_Finetuning with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="kevinkyi/Homework2_Finetuning")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("kevinkyi/Homework2_Finetuning") model = AutoModelForSequenceClassification.from_pretrained("kevinkyi/Homework2_Finetuning", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 43ff2f62adf99be85176b84bb6ec91faf23406a16732b6163d5125e1fdcbcdb0
- Size of remote file:
- 5.65 kB
- SHA256:
- 15ad897d2565929f967ad16491000677f745e3cf61800f8f39b697abbc9864c5
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