Instructions to use henryscheible/xlnet-base-cased_crows_pairs_classifieronly with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use henryscheible/xlnet-base-cased_crows_pairs_classifieronly with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="henryscheible/xlnet-base-cased_crows_pairs_classifieronly")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("henryscheible/xlnet-base-cased_crows_pairs_classifieronly") model = AutoModelForSequenceClassification.from_pretrained("henryscheible/xlnet-base-cased_crows_pairs_classifieronly", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download spiece.model from henryscheible/xlnet-base-cased_crows_pairs_classifieronly: direct link, hf CLI and curl.
- Browser
- Download file 798 kB
-
https://huggingface.co/henryscheible/xlnet-base-cased_crows_pairs_classifieronly/resolve/1fee9754ebc6b97f10fd780e94ced60829033275/spiece.model
- Command line
-
hf download hf://henryscheible/xlnet-base-cased_crows_pairs_classifieronly@1fee9754ebc6b97f10fd780e94ced60829033275/spiece.model
-
curl -L -o spiece.model https://huggingface.co/henryscheible/xlnet-base-cased_crows_pairs_classifieronly/resolve/1fee9754ebc6b97f10fd780e94ced60829033275/spiece.model
798 kB
- Xet hash:
- f4be795c85fc2ff4878535e8d1ef251d081812cfe125322de96e8faa7e06be27
- Size of remote file:
- 798 kB
- SHA256:
- 1f8c1c0bc2854d1af911a8550288c1258af5ba50277f3a5c829b98eb86fc5646
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