Text Classification
Transformers
TensorBoard
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use DaisyQue/finetuning-sentiment-model-tweet-OLDsamples with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DaisyQue/finetuning-sentiment-model-tweet-OLDsamples with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="DaisyQue/finetuning-sentiment-model-tweet-OLDsamples")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("DaisyQue/finetuning-sentiment-model-tweet-OLDsamples") model = AutoModelForSequenceClassification.from_pretrained("DaisyQue/finetuning-sentiment-model-tweet-OLDsamples", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e65aec06bd7b0ecf1e7d4fb19ccde93f5f1ac96f7dd543e65a16f51ad672239e
- Size of remote file:
- 5.3 kB
- SHA256:
- ab35a4fda148408083a07a411cd801c452d389dc65a3fcb844835cb40f917a30
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