Instructions to use FacebookAI/xlm-roberta-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FacebookAI/xlm-roberta-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="FacebookAI/xlm-roberta-large")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("FacebookAI/xlm-roberta-large") model = AutoModelForMaskedLM.from_pretrained("FacebookAI/xlm-roberta-large", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Download src/modules/activations.py from FacebookAI/xlm-roberta-large: direct link, hf CLI and curl.
- Browser
- Download file 230 Bytes
-
https://huggingface.co/FacebookAI/xlm-roberta-large/resolve/refs%2Fpr%2F8/src/modules/activations.py
- Command line
-
hf download hf://FacebookAI/xlm-roberta-large@refs/pr/8/src/modules/activations.py
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curl -L -o activations.py https://huggingface.co/FacebookAI/xlm-roberta-large/resolve/refs%2Fpr%2F8/src/modules/activations.py
230 Bytes
| import torch.nn as nn | |
| from src.utils.mapper import configmapper | |
| configmapper.map("activations", "relu")(nn.ReLU) | |
| configmapper.map("activations", "logsoftmax")(nn.LogSoftmax) | |
| configmapper.map("activations", "softmax")(nn.Softmax) | |