lantiga

from transformers import BertForQuestionAnswering
import torch

bert_name = "bert-large-uncased-whole-word-masking-finetuned-squad"

model = BertForQuestionAnswering.from_pretrained(bert_name, torchscript=True)
model.eval()

inputs = [torch.ones(1, 2, dtype=torch.int64),
          torch.ones(1, 2, dtype=torch.int64),

bsweger

Useful Pandas Snippets

A personal diary of DataFrame munging over the years.

Data Types and Conversion

Convert Series datatype to numeric (will error if column has non-numeric values)
(h/t @makmanalp)

tonious

#define _XOPEN_SOURCE 500 /* Enable certain library functions (strdup) on linux. See feature_test_macros(7) */

#include <time.h>
#include <stdlib.h>
#include <stdio.h>
#include <limits.h>
#include <string.h>
#include <assert.h>

struct avl_node_s {