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
Download tokenizer.json from kevinkyi/Homework2_Finetuning: direct link, hf CLI and curl.
- Browser
- Download file 711 kB
-
https://huggingface.co/kevinkyi/Homework2_Finetuning/resolve/main/tokenizer.json
- Command line
-
hf download hf://kevinkyi/Homework2_Finetuning/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/kevinkyi/Homework2_Finetuning/resolve/main/tokenizer.json
711 kB
File too large to display, you can check the raw version instead.