Text Classification
Transformers
PyTorch
TensorBoard
distilbert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use marcolatella/tweet_eval_bench with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use marcolatella/tweet_eval_bench with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="marcolatella/tweet_eval_bench")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("marcolatella/tweet_eval_bench") model = AutoModelForSequenceClassification.from_pretrained("marcolatella/tweet_eval_bench", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
6338386
1
Parent(s): 824ce45
Training in progress, epoch 1
Browse files- pytorch_model.bin +1 -1
- runs/Dec09_17-22-32_add4370b766b/1639071180.073661/events.out.tfevents.1639071180.add4370b766b.73.3 +3 -0
- runs/Dec09_17-22-32_add4370b766b/events.out.tfevents.1639070703.add4370b766b.73.0 +2 -2
- runs/Dec09_17-22-32_add4370b766b/events.out.tfevents.1639071180.add4370b766b.73.2 +3 -0
- training_args.bin +1 -1
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