Instructions to use raulgdp/xlnet-base-cased-tweets-2025-II with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use raulgdp/xlnet-base-cased-tweets-2025-II with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="raulgdp/xlnet-base-cased-tweets-2025-II")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("raulgdp/xlnet-base-cased-tweets-2025-II") model = AutoModelForSequenceClassification.from_pretrained("raulgdp/xlnet-base-cased-tweets-2025-II", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 1
Browse files
config.json
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"n_layer": 12,
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"same_length": false,
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"n_head": 12,
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"n_layer": 12,
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"pad_token_id": 5,
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"problem_type": "single_label_classification",
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"reuse_len": null,
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"same_length": false,
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"start_n_top": 5,
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model.safetensors
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runs/Oct23_18-10-27_7d4159d0d228/events.out.tfevents.1761243172.7d4159d0d228.401.0
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